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A criticism of the article "Six monetarist errors: why emission won't feed inflation"

(be gentle, it's my first RI attempt, :P; I hope I can make justice to the subject, this is my layman understanding of many macro subjects which may be flawed...I hope you can illuminate me if I have fallen short of a good RI)
Introduction
So, today a heterodox leaning Argentinian newspaper, Ambito Financiero, published an article criticizing monetarism called "Six monetarist errors: why emission won't feed inflation". I find it doesn't properly address monetarism, confuses it with other "economic schools" for whatever the term is worth today and it may be misleading, so I was inspired to write a refutation and share it with all of you.
In some ways criticizing monetarism is more of a historical discussion given the mainstream has changed since then. Stuff like New Keynesian models are the bleeding edge, not Milton Friedman style monetarism. It's more of a symptom that Argentinian political culture is kind of stuck in the 70s on economics that this things keep being discussed.
Before getting to the meat of the argument, it's good to have in mind some common definitions about money supply measures (specifically, MB, M1 and M2). These definitions apply to US but one can find analogous stuff for other countries.
Argentina, for the lack of access to credit given its economic mismanagement and a government income decrease because of the recession, is monetizing deficits way more than before (like half of the budget, apparently, it's money financed) yet we have seen some disinflation (worth mentioning there are widespread price freezes since a few months ago). The author reasons that monetary phenomena cannot explain inflation properly and that other explanations are needed and condemns monetarism. Here are the six points he makes:
1.Is it a mechanical rule?
This way, we can ask by symmetry: if a certainty exists that when emission increases, inflation increases, the reverse should happen when emission becomes negative, obtaining negative inflation. Nonetheless, we know this happens: prices have an easier time increasing and a lot of rigidity decreasing. So the identity between emission and inflation is not like that, deflation almost never exists and the price movement rhythm cannot be controlled remotely only with money quantity. There is no mechanical relationship between one thing and the other.
First, the low hanging fruit: deflation is not that uncommon, for those of you that live in US and Europe it should be obvious given the difficulties central banks had to achieve their targets, but even Argentina has seen deflation during its depression 20 years ago.
Second, we have to be careful with what we mean by emission. A statement of quantity theory of money (extracted from "Money Growth and Inflation: How Long is the Long-Run?") would say:
Inflation occurs when the average level of prices increases. Individual price increases in and of themselves do not equal inflation, but an overall pattern of price increases does. The price level observed in the economy is that which leads the quantity of money supplied to equal the quantity of money demanded. The quantity of money supplied is largely controlled by the [central bank]. When the supply of money increases or decreases, the price level must adjust to equate the quantity of money demanded throughout the economy with the quantity of money supplied. The quantity of money demanded depends not only on the price level but also on the level of real income, as measured by real gross domestic product (GDP), and a variety of other factors including the level of interest rates and technological advances such as the invention of automated teller machines. Money demand is widely thought to increase roughly proportionally with the price level and with real income. That is, if prices go up by 10 percent, or if real income increases by 10 percent, empirical evidence suggests people want to hold 10 percent more money. When the money supply grows faster than the money demand associated with rising real incomes and other factors, the price level must rise to equate supply and demand. That is, inflation occurs. This situation is often referred to as too many dollars chasing too few goods. Note that this theory does not predict that any money-supply growth will lead to inflation—only that part of money supply growth that exceeds the increase in money demand associated with rising real GDP (holding the other factors constant).
So it's not mere emission, but money supply growing faster than money demand which we should consider. So negative emission is not necessary condition for deflation in this theory.
It's worth mentioning that the relationship with prices is observed for a broad measure of money (M2) and after a lag. From the same source of this excerpt one can observe in Fig. 3a the correlation between inflation and money growth for US becomes stronger the longer data is averaged. Price rigidities don't have to change this long term relationship per se.
But what about causality and Argentina? This neat paper shows regressions in two historical periods: 1976-1989 and 1991-2001. The same relationship between M2 and inflation is observed, stronger in the first, highly inflationary period and weaker in the second, more stable, period. The regressions a 1-1 relationship in the high inflation period but deviates a bit in the low inflation period (yet the relationship is still there). Granger causality, as interpreted in the paper, shows prices caused money growth in the high inflation period (arguably because spending was monetized) while the reverse was true for the more stable period.
So one can argue that there is a mechanical relationship, albeit one that is more complicated than simple QTOM theory. The relationship is complicated too for low inflation economies, it gets more relevant the higher inflation is.
Another point the author makes is that liquidity trap is often ignored. I'll ignore the fact that you need specific conditions for the liquidity trap to be relevant to Argentina and address the point. Worth noting that while market monetarists (not exactly old fashioned monetarists) prefer alternative explanations for monetary policy with very low interest rates, this phenomena has a good monetary basis, as explained by Krugman in his famous japanese liquidity trap paper and his NYT blog (See this and this for some relevant articles). The simplified version is that while inflation may follow M2 growth with all the qualifiers needed, central banks may find difficulties targeting inflation when interest rates are low and agents are used to credible inflation targets. Central banks can change MB, not M2 and in normal times is good enough, but at those times M2 is out of control and "credibly irresponsible" policies are needed to return to normal (a more detailed explanation can be found in that paper I just linked, go for it if you are still curious).
It's not like monetary policy is not good, it's that central banks have to do very unconventional stuff to achieve in a low interest rate environment. It's still an open problem but given symmetric inflation targeting policies are becoming more popular I'm optimistic.
2 - Has inflation one or many causes?
In Argentina we know that the main determinant of inflation is dollar price increases. On that, economic concentration of key markets, utility price adjustments, fuel prices, distributive struggles, external commodity values, expectatives, productive disequilibrium, world interest rates, the economic cycle, stationality and external sector restrictions act on it too.
Let's see a simple example: during Macri's government since mid 2017 to 2019 emission was practically null, but when in 2018 the dollar value doubled, inflation doubled too (it went from 24% to 48% in 2018) and it went up again a year later. We see here that the empirical validity of monetarist theory was absent.
For the first paragraph, one could try to run econometric tests for all those variables, at least from my layman perspective. But given that it doesn't pass the smell test (has any country used that in its favor ignoring monetary policy? Also, I have shown there is at least some evidence for the money-price relationship before), I'll try to address what happened in Macri's government and if monetarism (or at least some reasonable extension of it) cannot account for it.
For a complete description of macroeconomic policy on that period, Sturzenegger account is a good one (even if a bit unreliable given he was the central banker for that government and he is considered to have been a failure). The short version is that central banks uses bonds to manage monetary policy and absorb money; given the history of defaults for the country, the Argentinian Central Bank (BCRA) uses its own peso denominated bonds instead of using treasury bonds. At that time period, the BCRA still financed the treasury but the amount got reduced. Also, it emitted pesos to buy dollar reserves, then sterilized them, maybe risking credibility further.
Near the end of 2017 it was evident the government had limited appetite for budget cuts, it had kind of abandoned its inflation target regime and the classic problem of fiscal dominance emerged, as it's shown in the classic "Unpleasant monetarist arithmetic" paper by Wallace and Sargent. Monetary policy gets less effective when the real value of bonds falls, and raising interest rates may be counterproductive in that environment. Rational expectations are needed to complement QTOM.
So, given that Argentina promised to go nowhere with reform, it was expected that money financing would increase at some point in the future and BCRA bonds were dumped in 2018 and 2019 as their value was perceived to have decreased, and so peso demand decreased. It's not that the dollar value increased and inflation followed, but instead that peso demand fell suddenly!
The IMF deal asked for MB growth to be null or almost null but that doesn't say a lot about M2 (which it's the relevant variable here). Without credible policies, the peso demand keeps falling because bonds are dumped even more (see 2019 for a hilariously brutal example of that).
It's not emission per se, but rather that it doesn't adjust properly to peso demand (which is falling). That doesn't mean increasing interest rates is enough to achieve it, following Wallace and Sargent model.
This is less a strict proof that a monetary phenomenon is involved and more stating that the author hasn't shown any problem with that, there are reasonable models for this situation. It doesn't look like an clear empirical failure to me yet.
3 - Of what we are talking about when we talk about emission?
The author mentions many money measures (M0, M1, M2) but it doesn't address it meaningfully as I tried to do above. It feels more like a rhetorical device because there is no point here except "this stuff exists".
Also, it's worth pointing that there are actual criticisms to make to Friedman on those grounds. He failed to forecast US inflation at some points when he switched to M1 instead of using M2, although he later reverted that. Monetarism kind of "failed" there (it also "failed" in the sense that modern central banks don't use money, but instead interest rates as their main tool; "failed" because despite being outdated, it was influential to modern central banking). This is often brought to this kind of discussions like if economics hasn't moved beyond that. For an account of Friedman thoughts on monetary policies and his failures, see this.
4 - Why do many countries print and inflation doesn't increase there?
There is a mention about the japanese situation in the 90s (the liquidity trap) which I have addressed.
The author mentions that many countries "printed" like crazy during the pandemic, and he says:
Monetarism apologists answer, when confronted with those grave empirical problems that happen in "serious countries", that the population "trusts" their monetary authorities, even increasing the money demand in those place despite the emission. Curious, though, it's an appeal to "trust" implying that the relationship between emission and inflation is not objective, but subjective and cultural: an appreciation that abandons mechanicism and the basic certainty of monetarism, because evaluations and diagnostics, many times ideologic, contextual or historical intervene..
That's just a restatement of applying rational expectations to central bank operations. I don't see a problem with that. Rational expectations is not magic, it's an assessment of future earnings by economic actors. Humans may not 100% rational but central banking somehow works on many countries. You cannot just say that people are ideologues and let it at that. What's your model?
Worth noting the author shills for bitcoin a bit in this section, for more cringe.
5 - Are we talking of a physical science or a social science?
Again, a vague mention of rational expectations ("populists and pro market politicians could do the same policies with different results because of how agents respond ideologically and expectatives") without handling the subject meaningfully. It criticizes universal macroeconomic rules that apply everywhere (this is often used to dismiss evidence from other countries uncritically more than as a meaningful point).
6 - How limits work?
The last question to monetarism allows to recognize it something: effectively we can think on a type of vinculation between emission and inflation in extreme conditions. That means, with no monetary rule, no government has the need of taxes but instead can emit and spend all it needs without consequence. We know it's not like that: no government can print infinitely without undesirable effects.
Ok, good disclaimer, but given what he wrote before, what's the mechanism which causes money printing to be inflationary at some point? It was rejected before but now it seems that it exists. What was even the point of the article?
Now, the problem is thinking monetarism on its extremes: without emission we have inflation sometimes, on others we have no inflation with emission, we know that if we have negative emission that doesn't guarantees us negative inflation, but that if emission is radically uncontrolled there will economic effects.
As I wrote above, that's not what monetarism (even on it's simpler form) says, nor a consequence of it. You can see some deviations in low inflation environment but it's not really Argentina's current situation.
Let's add other problems: the elastic question between money and prices is not evident. Neither is time lags in which can work or be neutral. So the question is the limit cases for monetarism which has some reason but some difficulty in explaining them: by which and it what moments rules work and in which it doesn't.
I find the time lag thing to be a red herring. You can observe empirically and not having a proper short/middle run model doesn't invalidate QTOM in the long run. While it may be that increasing interest rates or freezing MB is not effective, that's less a problem of the theory and more a problem of policy implementation.
Conclusion:
I find that the article doesn't truly get monetarism to begin with (see the points it makes about emission and money demand), neither how it's implemented in practice, nor seems to be aware of more modern theories that, while put money on the background, don't necessarily invalidate it (rational expectation ideas, and eventually New Keynesian stuff which addresses stuff like liquidity traps properly).
There are proper criticisms to be made to Friedman old ideas but he still was a relevant man in his time and the economic community has moved on to new, better theories that have some debt to it. I feel most economic discussion about monetarism in Argentina is a strawman of mainstream economics or an attack on Austrians more than genuine points ("monetarism" is used as a shorthand for those who think inflation is a monetary phenomenon more than referring to Friedman and his disciples per se).
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IoT Testing !!!

IoT is a whole ecosystem that contains intelligent devices equipped with sensors (sensors) that provide remote control, storage, transmission and security of data. The Internet of Things (IoT) is an innovative solution in various areas such as healthcare, insurance, labor protection, logistics, ecology, etc. To unleash the full potential of using IoT devices, it is necessary to solve many problems related to standards, security, architecture, ecosystem construction, channels and device connection protocols. Today in the world, large organizations such as NIST, IEEE, ISO / IEC, and others make enormous efforts in addressing the issues of standardization, security, and the architecture of developed devices. Analysis of recent scientific research in the field of solving information security issues and data privacy of IoT devices showed positive results, but these methods and approaches are based on traditional methods of network security. The development and application of security mechanisms for IoT devices is a complex and heterogeneous task. In this regard, ensuring information security and the protection of sensitive data, as well as the availability of IoT devices, is the main purpose of writing this article. Given the above, many questions arise related to the security status of IoT devices, namely: What are the current standards and protocols for IoT? What are the requirements for ensuring information security of IoT devices? What security mechanisms do IoT devices have? What methods of testing IoT devices exist? Manufacturers and developers of IoT devices do not pay enough attention to security issues. With the development of cyber-attacks, attack vectors are becoming more sophisticated and aimed at several infrastructure elements at the same time. IoT infrastructure typically includes millions of connected objects and devices that store and share confidential information. Scenarios of theft and fraud, such as hacking and falsifying personal data, pose a serious threat to such IoT devices. Most IoT devices use the public Internet to exchange data, which makes them vulnerable to cyber-attacks. Modern approaches to information security often offer solutions to individual problems, when multi-level approaches offer increased resistance to cyber-attacks.
Challenges of testing IoT devices
To a request to name essential items, many would answer: food, a roof over your head, clothes … With one caveat: this was the case in the last century.
Since then, the species Homo Sapiens has accumulated needs. We need automatic sensors to control the lighting, not just switches, for smart systems to monitor health and car traffic. The list goes on … In general, we can make life easier and better.
Let’s try to figure out how all this Internet of things works before moving on to testing.
IoT testing
Content
What is the Internet of Things (IoT)? Examples of IoT devices # 1) Wearable technology: # 2) Infrastructure and development # 3) Health Technologies that are present in IoT IoT Testing # 1) Usability: # 2) IoT Security: # 3) Network features: # 4) Efficiency: # 5) Compatibility testing: # 6) Pilot testing: # 7) Check for compliance: # 8) Testing updates: IoT testing challenges # 1) Hard / soft # 2) Device Interaction Model # 3) Testing data coming in real time # 4) UI # 5) Network Availability IoT Testing Tools # 1) Software: # 2) Hard: Total What is the Internet of Things (IoT)? The Internet of things (or IoT) is a network that combines many objects: vehicles, home automation, medical equipment, microchips, etc. All these constituent elements accumulate and transmit data. Through this technology, the user controls the devices remotely.

Examples of IoT devices

# 1) Wearable technology: Fitbit Fitness Bracelets and Apple Watch smart watches sync seamlessly with other mobile devices.

IoT – watches and bracelets

Itís easier to collect health information: heart rate, body activity during sleep, etc.
# 2) Infrastructure and development The CitySense app analyzes lighting data online and turns lights on and off automatically. There are applications that control traffic lights or report on the availability of parking lots.
# 3) Health Some health monitoring systems are used in hospitals. The basis of their work is indicative data. These services control the dosage of drugs at different times of the day. For example, the UroSense application monitors the level of fluid in the body and, if necessary, increases this level. And doctors will learn about patient information wirelessly.
Technologies that are present in IoT RFID (Radio Frequency Identification), EPC (Electronic Product Code) NFC (ìNear Field Communicationî) provides two-way communication between devices. This technology is present in smartphones and is used for contactless transactions.
Bluetooth It is widely used in situations where near-field communication is sufficient. Most often present in wearable devices. Z-Wave. Low frequency RF technology. Most often used for home automation, lighting control, etc. WiFi. The most popular network for IoT (file, data and message transfer). IoT Testing Consider an example : a medical system that monitors health status, heart rate, fluid content, and sends reports to healthcare providers. Data is displayed in the system; archives available. And doctors are already deciding whether to take medication for the patient remotely.
IoT architecture
There are several approaches for testing the IoT architecture.
# 1) Usability: It is necessary to provide usability testing of each device. A medical device that monitors your health should be portable.
Sufficiently thought out equipment is needed that would send not only notifications, but also error messages, warnings, etc. The system must have an option that captures events, so that the end user understands. If this is not possible, event information is stored in the database. The ability to process data and exchange tasks between devices is carefully checked. # 2) IoT Security: Data is at the heart of all connected devices. Therefore, unauthorized access during data transfer is not ruled out. From the point of view of software testing, it is necessary to check how secure / encrypted the data is. If there is a UI, you need to check if it is password protected. # 3) Network features: Network connectivity and IoT functionality are critical. After all, we are talking about a system that is used for health purposes. Two main aspects are tested: The presence of a network , the possibility of data transfer (whether jobs are transferred from one device to another without any hitch). The scenario when there is no connection . Regardless of the level of reliability of the system, it is likely that the status of the system will be ìofflineî. If the network is unavailable, employees of the hospital or other organization need to know about it (notifications). Thus, they will be able to monitor the condition of the patient themselves, and not wait for the system to work. On the other hand, in such systems there is usually a mechanism that saves data if the system is offline. That is, data loss is eliminated. # 4) Efficiency: It is necessary to take into account the extent to which the healthcare solution is applicable in specific conditions. In testing, from 2 to 10 patients participate, data is transmitted to 10-20 devices. If the entire hospital is connected to the network, this is already 180-200 patients. That is, there will be more actual data than test data. In addition, it is necessary to test the utility for monitoring the system: current load, power consumption, temperature, etc. # 5) Compatibility testing: This item is always present in the plan for testing the IoT system. The compatibility of different versions of operating systems, browser types and their respective versions, devices of different generations, communication modes [for example, Bluetooth 2.0, 3.0] is extremely important for IoT. # 6) Pilot testing: Pilot testing is a mandatory point of the test plan. Only tests in the laboratory will allow us to conclude that the system is functional. In pilot testing, the number of users is limited. They make manipulations with the application and express their opinion. These comments turn out to be very helpful, they make a reliable application. # 7) Check for compliance: The system, which monitors the state of health, undergoes many compliance checks. It also happens that a software product passes all stages of testing, but fails the final test for compliance [testing is carried out by the regulatory body]. It is more advisable to check for compliance with norms and standards before starting the development cycle. # 8) Testing updates: IoT is a combination of many protocols, devices, operating systems, firmware, hardware, network layers, etc. When an update occurs – be it a system or something else of the above – rigorous regression testing is required. The overall strategy is being amended to avoid the difficulties associated with the upgrade.

IoT testing challengesIoT testing

# 1) Hard / soft IoT is an architecture in which software and hardware components are closely intertwined. Not only software is important, but also hard: sensors, gateways, etc.
Functional testing alone will not be enough to certify the system. All components are interdependent. IoT is much more complicated than simpler systems [only software or only hard].
# 2) Device Interaction Model Components of the network must interact in real time or close to real. All this becomes a single whole – hence the additional difficulties associated with IoT (security, backward compatibility and updates).
# 3) Testing data coming in real time Obtaining this data is extremely difficult. The matter is complicated by the fact that the system, as in the described case, may relate to the health sector.
# 4) UI An IoT network usually consists of different devices that are controlled by different platforms [iOS, Android, Windows, linux]. Testing is possible only on some devices, since testing on all possible devices is almost impossible.
# 5) Network Availability Network connectivity plays an important role in IoT. The data rate is increasing. IoT architecture should be tested under various connection conditions, at different speeds. Virtual network emulators in most cases are used to diversify network load, connectivity, stability, and other elements of load testing . But the evidence is always new scenarios, and the testing team does not know where the difficulties will arise in the future.

IoT Testing ToolsIoT and software

There are many tools that are used in testing IoT systems.
They are classified depending on the purpose:
# 1) Software: Wireshark : An open source tool. Used to monitor traffic in the interface, source / given host address, etc. Tcpdump : This tool does a similar job. The utility does not have a GUI, its interface is the command line. It enables the user to flash TCP / IP and other packets that are transmitted over the network. # 2) Hard: JTAG Dongle: A tool similar to debuggers in PC applications. Allows you to find defects in the code of the target platform and shows the changes step by step. Digital Storage Oscilloscope : checks various events using time stamps, power outages, signal integrity. Software Defined Radio : emulates a transmitter and receiver for various wireless gateways. IoT is an emerging market and many opportunities. In the foreseeable future, the Internet of things will become one of the main areas of work for tester teams. Network devices, smart gadget applications, communication modules – all this plays an important role in the study and evaluation of various services.
Total The approach to testing IoT may vary depending on the specific system / architecture.
Itís difficult to test IoT, but at the same time itís an interesting job, since testers have a good place to swing – there are many devices, protocols and operating systems.
PS You should try out the TAAS format (“tests from the user’s point of view”), and not just fulfill the formal requirements.
—————
Smart watches, baby-sitters, wireless gadgets and devices such as, for example, a portable radio station have long been part of everyday life.
Hackers have already proven that many of these attacks on IoT are possible.
Many people in general first learned about IoT security threats when they heard about the Mirai botnet in September 2016.
According to some estimates, Mirai infected about 2.5 million IoT devices, including printers, routers and cameras connected to the Internet.
The botnetís creators used it to launch distributed denial of service (DDoS) attacks, including an attack on the KrebsonSecurity cybersecurity blog.
In fact, the attackers used all devices infected with Mirai to try to connect to the target site at the same time, in the hope of suppressing the servers and preventing access to the site.
Since Mirai was first published on the news, attackers launched other botnet attacks on IoT, including Reaper and Hajime.
Experts say that such attacks are most likely in the future.
The Internet of Things (IoT) can bring many advantages to modern life, but it also has one huge drawback: security threats.
In its 2018 IOT forecasts, Forroter Research notes: ìSecurity threats are a major concern for companies deploying IoT solutions – in fact, this is the main task of organizations looking to deploy IoT solutions.
However, most firms do not regularly prevent IoT-specific security threats, and business pressure suppresses technical security issues. î
IoT security risks can be even more significant on the consumer side, where people are often unaware of potential threats and what they should do to avoid threats.
A 2017 IoT security survey sponsored by Gemalto Security Provider found that only 14 percent of consumers surveyed consider themselves IoT-aware.
This number is particularly noteworthy because 54 percent of the respondents owned an average of four IoT devices.
And these IoT security threats are not just theoretical.
Hackers and cybercriminals have already found ways to compromise many IoT devices and networks, and experts say that successful attacks are likely to increase.
Forrester predicted: “In 2018, we will see more attacks related to IoT … except that they will increase in scale and loss.”
What types of IoT security threats will enterprises and consumers face in 2018?
Based on historical precedent, here are ten of the most likely types of attacks.
  1. Botnets and DDoS attacks
  2. Remote recording The possibility that attackers can hack IoT devices and record owners without their knowledge is not revealed as a result of the work of hackers, but as a result of the work of the Central Intelligence Agency (CIA).
Documents released by WikiLeaks implied that the spy agency knew about dozens of zero-day exploits for IoT devices, but did not disclose errors, because they hoped to use vulnerabilities to secretly record conversations that would reveal the actions of alleged opponents of America.
Documents pointed to vulnerabilities in smart TVs, as well as on Android and iOS smartphones.
The obvious consequence is that criminals can also exploit these vulnerabilities for their vile purposes.
  1. Spam In January 2014, one of the first known attacks using IoT devices used more than 100,000 Internet-connected devices, including televisions, routers, and at least one smart refrigerator to send 300,000 spam emails per day.
The attackers sent no more than 10 messages from each device, which makes it very difficult to block or determine the location of the incident.
This first attack was not far from the last.
IoT spam attacks continued in the fall with the Linux.ProxyM IoT botnet.
  1. APTs In recent years, advanced persistent threats (APTs) have become a serious concern for security professionals.
APTs are carried out by funded and widespread attackers such as nation states or corporations that launch complex cyberattacks that are difficult to prevent or mitigate.
For example, the Stuxnet worm, which destroyed Iranian nuclear centrifuges and hacking Sony Pictures 2014, was attributed to nation states.
Because the critical infrastructure is connected to the Internet, many experts warn that APTs may launch a power-oriented IoT attack, industrial control systems, or other systems connected to the Internet.
Some even warn that terrorists could launch an attack on iOT, which could harm the global economy.
  1. Ransomware Ransomware has become too common on home PCs and corporate networks. Now experts say that it is only a matter of time before the attackers begin to block smart devices. Security researchers have already demonstrated the ability to install ransomware on smart thermostats. For example, they can raise the temperature to 95 degrees and refuse to return it to its normal state until the owner agrees to pay a ransom in Bitcoins. They can also launch similar attacks on garage doors, vehicles, or even appliances. How much would you pay to unlock your smart coffee pot first thing in the morning?
  2. Data theft Obtaining important data, such as customer names, credit card numbers, social security numbers, and other personal information, is still one of the main goals of cyber attacks.
IoT devices represent a whole new vector of attack for criminals looking for ways to invade corporate or home networks.
For example, if an improperly configured device or IoT sensor is connected to corporate networks, this can give attackers a new way to enter the network and potentially find the valuable data that they need.
  1. Home theft As smart locks and smart garage doors become more commonplace, it is also more likely that cybercriminals can become real thieves.
Home systems that are not properly protected can be vulnerable to criminals with sophisticated tools and software.
Security researchers are unlikely to have shown that itís quite easy to break into a house through smart locks from several different manufacturers, and smart garage doors do not seem to be much safer.
  1. Communication with children One of the most disturbing IoT security stories came from children.
One couple discovered that the stranger not only used his monitor for children to spy on their three-year-old son, this stranger also spoke with his child through the device.
Mother heard an unknown voice: ìWake up, boy, dad is looking for you,î and the child said that he was scared because at night someone was talking to him on an electronic device.
As more and more children’s gadgets and toys connect to the Internet, it seems likely that these frightening scenarios may become more common.
  1. Remote control of a vehicle As vehicles become smarter and more accessible on the Internet, they also become vulnerable to attack.
Hackers have shown that they can take control of a jeep, maximize air conditioning, change the radio station, start the wipers, and ultimately slow down the car.
The news led to the recall of 1.4 million cars, but whitehat researchers, following the original exploit, said they discovered additional vulnerabilities that were not fixed by the Chrysler patch applied to the recalled cars.
Although experts say the automotive industry is doing a great job of ensuring vehicle safety, it is almost certain that attackers will find new vulnerabilities in such smart cars.
  1. Personal attacks Sometimes IoT covers more than just devices – it can also include people who have connected medical devices implanted in their bodies.
An episode of the television series Homeland attempted a murder aimed at an implanted medical device, and former vice president Dick Cheney was so worried about this scenario that he turned off the wireless capabilities on his implanted defibrillator.
This kind of attack has not yet happened in real life, but it remains possible, as many medical devices become part of the IoT.
submitted by farabijfa to u/farabijfa [link] [comments]

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fee,.,0.15,.,bitcoins,.,0 25,.,bitcoins,.,0.05,.,bitcoin,.,in euro,.,bitcoin,.,2.0,.,0.1,.,bitcoins,.,0.21,.,bitcoins,.,bitcoin,.,1st august,.,bitcoin,.,1 million,.,bitcoin,.,101,.,bitcoin,.,10 year chart,.,bitcoin,.,10000,.,bitcoin,.,148,.,,.,bitcoin,.,10 year prediction,.,bitcoin,.,100k,.,bitcoin,.,100 dollars,.,bitcoin,.,10 years ago,.,1,.,bitcoin,.,in gbp,.,1,.,bitcoin,.,in pounds,.,1,.,bitcoin,.,in £,.,1,.,bitcoin,.,to dollar,.,1,.,bitcoin,.,in inr,.,1,.,bitcoin,.,to euro,.,1,.,bitcoin,.,in gdp,.,1,.,bitcoin,.,in eur,.,1,.,bitcoin,.,to myr,.,1,.,bitcoin,.,in sterling,.,bitcoin,.,2010,.,bitcoin,.,2017,.,bitcoin,.,2020,.,bitcoin,.,2018,.,bitcoin,.,2009,.,bitcoin,.,2013,.,bitcoin,.,21 million,.,bitcoin,.,2012,.,bitcoin,.,2014,.,2,.,bitcoin,.,to usd,.,2,.,bitcoin,.,price,.,2,.,bitcoin,.,to inr,.,2,.,bitcoin,.,wallets,.,2,.,bitcoins to dollars,.,2,.,bitcoins free,.,2,.,bitcoins a month,.,2,.,bitcoin,.,qt,.,bitcoin,.,2 year chart,.,bitcoin,.,2 paypal,.,bitcoin,.,3000,.,bitcoin,.,31st july,.,bitcoin,.,3 confirmations,.,bitcoin,.,3.0,.,bitcoin,.,3 year chart,.,bitcoin,.,3 month chart,.,bitcoin,.,300,.,bitcoin,.,365 club,.,bitcoin,.,3000 usd,.,bitcoin,.,30 confirmations,.,3,.,bitcoins in gbp,.,3,.,bitcoins,.,3,.,bitcoins to usd,.,3,.,bitcoin,.,in euro,.,3,.,bitcoin,.,to eur,.,bitcoin,.,3 unlimited,.,bitcoin,.,3 day chart,.,bitcoin,.,3 address,.,bitcoin,.,4000,.,bitcoin,.,4chan,.,bitcoin,.,4 billion,.,bitcoin,.,401k,.,bitcoin,.,4 backpage,.,bitcoin,.,43,.,bitcoin,.,40000,.,bitcoin,.,4k,.,bitcoin,.,4 year chart,.,bitcoin,.,48,.,4,.,bitcoins,.,4,.,bitcoins to usd,.,4,.,bitcoins in gbp,.,4,.,bitcoin,.,to eur,.,bitcoins 4 backpage,.,bitcoin,.,4 igaming,.,bitcoin,.,4 u,.,bitcoin,.,4 november,.,bitcoin,.,4 cash,.,bitcoin,.,5 year chart,.,bitcoin,.,51 attack,.,bitcoin,.,500,.,bitcoin,.,5 year,.,bitcoin,.,500 000,.,bitcoin,.,5000,.,bitcoin,.,50000,.,bitcoin,.,5 year price,.,bitcoin,.,5 years ago,.,bitcoin,.,5 year forecast,.,5,.,bitcoins in pounds,.,5,.,bitcoins,.,5,.,bitcoins to usd,.,5,.,bitcoin,.,free,.,5,.,bitcoin,.,in euro,.,bitcoin,.,5 years,.,bitcoin,.,5 minutes,.,bitcoin,.,5 min,.,bitcoin,.,5 unlimited generator,.,bitcoin,.,666,.,bitcoin,.,6 months,.,bitcoin,.,6 confirmations,.,bitcoin,.,6 month chart,.,bitcoin,.,6000,.,bitcoin,.,60 minutes,.,bitcoin,.,6 confirmations time,.,bitcoin,.,6 month price,.,bitcoin,.,6 years ago,.,bitcoin,.,60 day chart,.,6,.,bitcoin,.,network confirmations,.,,.,
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Is Bitcoin Dead Honest thoughts On: Bitcoin Cash (BCH) BITCOIN DIFFICULTY ADJUSTMENT  Satoshi Nakamoto's Wallet  Market Analysis and Bitcoin News Best Bitcoin Client Bitcoin Holders MUST WATCH! Billionaire Investor REVEALS ...

Source: iStock/ranplett. Bitcoin (BTC) is the most secure cryptocurrency with the most secure blockchain, remind the legions of Bitcoiners who argue that the cryptocurrency's increasing hashrate is enough to ensure that it never succumbs ... Like we already said - Bitcoin mining difficulty will depend on how quickly Bitcoin has been mined in the recent past – which is influenced by the total hashrate of the entire network. Where the aggregate hashrate increases it implies that more people have been joining the Bitcoin network as miners. In turn, the additional computing power contributing to Before we even begin to understand what bitcoin mining difficulty means, we need to know how mining works. We have covered this topic in detail before, so we will just give you a little overview before getting into the different nuances of difficulty. Following that, we will look at how mining difficulty is calculated and how it changes to suit the network’s needs. Today saw the second most pronounced decline of all time in the difficulty of Bitcoin mining.It went from 16.55 T to 13.91 T, a decrease of almost 16%.It was since mid-January 2020 that the difficulty had not been so low. This is the second most pronounced drop ever, after that of October 2011, but in front of the one in December 2018, which was the result of another price drop. Difficulty: 923233068449: Estimated: 887736944047 in 1 blks: Network total: 7983858.406 Thash/s: Blocks/hour: 7.25 / 497 s: Home; Bitcoin; Markets; Charts; About. Oct 24, 2020 19:18:22 (UTC) Advertise on Bitcoincharts. Pricechart; Volume comparison; Symbol Time Period. Custom Time — < day > Chart Type. Price Band. Moving Averages. Technical Indicators large indicators. Options Show Volume ...

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Is Bitcoin Dead

A non-geeky explanation of what bitcoin mining difficulty is. This also shows how to keep your bitcoin take from diminishing over time. Chamath Palihapitiya, multi-billionaire and CEO of Social Capital, reveals his Bitcoin price prediction for 2020. Follow us on Twitter: https://twitter.com/A... For more info concerning Bitcoin wallet card, litecoin wallet card, kindly visit website right here: http://www.cryptocoinwalletcards.com/ Tags: asic bitcoin... Bitcoin Cash (BCH) had an eventful end of 2018. I break down and give my honest thoughts on Bitcoin Cash (BCH) here. Tell me what you think about Bitcoin Cash (BCH) below. For more info concerning bitcoin paper wallet, please visit site here: http://www.cryptocoinwalletcards.com/ Tags: asic bitcoin miner, asic bitcoin miner ava...

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