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
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.
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.
- Botnets and DDoS attacks
- 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.
- 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.
- 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.
- 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?
- 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.
- 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.
- 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.
- 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.
- 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.
It is hard to say when 10x became the bare minimum for the Go Big or Go Home Mentality that surrounds personal information and future tech. You will hear it said, in so many words, again and again, “don’t even bother competing with “The Googleverse”, as Visual Capitalist once called it, unless you have something 10x better in your category or market space. Since Google and Facebook have their eyes set on just about everything from your wallet to your exact location, on a second by second basis, it would logically follow that we just give up now and let Google and Facebook, and don’t forget Amazon, take over everything and invent all future social systems and relevant technologies that will continue to shape them. The company that thinks they can do it: www.10x.market https://preview.redd.it/1m2mpn3bzo511.png?width=219&format=png&auto=webp&s=d96541a37dea5d7cd53f89ae174d2ffcc7793c0f
Elon Musk decided the 10x divide was a good way to get people excited about new ventures that will not bear fruit until you are too old to care. We are all excited to get from Washington to New York in 33 minutes, and it’s just nice to know that my daughter doesn’t have to move out when she goes to college, as long as by her time the Hypertube spans the East Coast. It almost makes me forget about all the people who will be put out of work in the next five years by driverless cars and automated cargo vehicles, and what they are going to do with all their time when the Robot Tax dollars come every week in the form of a Universal Basic Income
“The key to making this work is increasing tunneling speed and dropping costs by a factor of 10 or more — this is the goal of The Boring Company. “ https://preview.redd.it/anp94fd9zo511.png?width=425&format=png&auto=webp&s=ff6d6b7f7b9e856bb3bf29af0438b47dffec7409
The Visual Capitalist makes it clear most people believe it's pointless to compete in any area that turns personal information into pay by the bit, which is the IOT version of paying by the click in The Googleverse
. It seems it is considered, in many cases, wiser to build something inside of the current Ecosystem of a Google or a Facebook, or something that serves as a gadget that adds utility to these platforms like a Selfie Drone
, rather than doubts the wisdom of the Googleverse and Facebook. How Google Tracks You - And What You Can Do About It This Chart Reveals Google’s True Dominance Over the Web https://preview.redd.it/8ikrp437zo511.png?width=760&format=png&auto=webp&s=bbf678d7dba90057840dacc52cdea7630013d4f5 Why can no one match Google?
Is Silicon Valley the last word on how data is gathered and put to use?
- Part of the reason lies in the math. Google operates at an insane level, processing 3.5 billion searches per day. To get millions of people to try a different search algorithm is expensive — and to get them to keep that behavior permanently is even more expensive.
- The only way such change becomes feasible is if a product comes out that is 10x better than Google, and at this point, such an event seems unlikely — at least in the current ecosystem.
It might seem that way at times, however, if you listen to the message that is coming out of Research Triangle
in South Carolina, home to the innovation hubs of Big Data giants like IBM and SAS, global innovation centers such as Silicon Wadi
, in Israel (where apparently, there is a glass ceiling for Muslims, and the rest of the tech sector is run by ex-military personnel from the elite cyber division Unit 8200) you could form a completely different opinion. Forbes did a good piece on Unit 8200
back in 2016, if you aren’t familiar. Companies like IBM and SAS say the secret sauce is all in the temporaneous, unstructured data streaming through the airwaves that can be correlated in real time with your position, preferences, and ready-made content bubble, like the one John Palfrey
talks about in Born Digital
. Three Different Models: one of them makes less sense than the others in a hyper-connected world. https://preview.redd.it/qzumjju4zo511.png?width=595&format=png&auto=webp&s=735aa43e3e2cd2cfc4a1514d59bc9fa1a97513ea How safe is it to concentrate a huge portion of your company’s warehoused data in one mammoth datacenter in a single country that could change it’s laws about how you can use and store data anytime it wants?
Facebook is said to have it’s largest data center, Lulea
, in Sweden. It is a good thing the Swedes are pro-blockchain, pro-crypto, or Mark Zuckerberg might have brick and mortared himself out of the Crypto-Blockchain boom that he recently announced Facebook intended to embrace and FaceOpolize. His Lawyers were probably on it way before they applied for the construction permits, but they still have the GDPR
and they are still a member of the EEC. If some of the bigger EEC Countries decided that they were tired of having Facebook harvest data from its citizens like a black market doctor in an Indian” Kidneyville
”, they could put some pressure on the Swedes to turn off the power. This is unlikely, but so seemed the fall of Rome before Christianity. At least the Romans would have thought the idea preposterous in 500 A.D.
However, the EEC did succeed in fining Facebook and Google an estimated $9.3 billion the day after the new GDPR Laws went into effect on May 25, 2018. GDPR impact: Google, Facebook look at $9.3 billion in fines under new EU privacy law https://preview.redd.it/j9nfinh2zo511.png?width=366&format=png&auto=webp&s=b1f9bff96340d0a1b6063e7fb20f7b61ba44f6df https://www.businesstoday.in/technology/news/gdpr-impact-google-fined-facebook-fined-european-union-privacy-law/story/277807.htm
Ex-Facebook Executive and Founder Chamath Palihapitiya
, says that traditional social networks are not only misusing our personal information and forcing us to take an all or nothing deal when we check "yes" in the terms box, but also using surreptitious methods to get people addicted to visiting their sites. He compares the site stats that display on your Google plugins as red numbers to slot machines and says that many of the calls to action on Facebook’s site were developed to elicit the same kind of dopamine rush a gambling addict gets when he pulls the arm of a slot machine. LinkedIn uses the same sort of alerts to keep you coming back throughout the day as well
This is a world where you generate all the interesting facts and Google and Facebook collect them, with your help, and get all the monetary benefits. This is a world where despite all the free time-saving, life-saving apps, you don’t have time for anything and you increasingly don’t have a life…not a real one. You are to busy working on the “digital you” and keeping the views-and-likes-ball in the air. Forget to post just one or two days and you will be reminded to log in and view the negative numbers and the graphs that make your popularity in the ether look like the Stock Market crashing in 2008.
Who’s Viewed You? Are you up or down in the ratings today? https://preview.redd.it/xonpoydyyo511.png?width=637&format=png&auto=webp&s=44f0a9d15f157c1b038919935e0494ac00ca14cd
If you listen to the companies who invented the modern market for data mining and data warehousing , you will hear them say that the only dream worth catching in the new “hyper-connected” world, where over 20 billion sensors will triangulate in the ether and create volumes of metadata and new data points outside the Google/Facebook Ecosystems is Unstructured data. Hence, the only logical place to start storing personal data is in a wallet like Bitcoin with all transactions verified on the Blockchain and in the ether where the promised land lies. Visit websites like IBM (Cognos, Watson Analytics), SAS, SAP HANA, and read the language they use to describe this new kind of data that are the reason AI and Machine Learning and Big Data are the wave of the future. Read the terminology they use on the SAP HANA webpage:
Gain new insights from advanced analytical processing in SAP HANA
“Leverage our in-memory advanced analytical processing capabilities — text, predictive, spatial, event streams, and time series — to build intelligent applications that provide deeper insights at unprecedented speed. And take advantage of predictive analytics, data mining, text analysis, and more.”
-SAP HANA Website
Terms like “event streams” clearly refer to windows of time that are narrow, temporaneous, and outside of the traditional data warehouse. While Google does maintain the position of most people’s cell phones, and a lead in the handheld device market with Android, it is not like we don’t have a choice, or as if Google is the only one who can pinpoint your position for you or the third-party apps on your smartphone or tablet. https://preview.redd.it/ef6iialtyo511.png?width=759&format=png&auto=webp&s=9fa74fd790f026dd51292361c4ee18ee7841e125 Who in their right mind would want millions of personal data records stored in a central location, that if breached, left every record up for grabs?
With all the turmoil brewing around the theft and loss, and misuse of personal data lately, whether it be SOX, GLBA, Classified Intel handling laws, or now GDPR, you would think the last place The DNC, Equifax, Hospitals, Google, Facebook, a bank, or anyone would want to purposely store data is on their servers, platforms, or any other company asset. Why not just push it to The Ether and scatter it like dust across the blockchain? Cracking the system to steal one transaction’s worth of data is economically akin to stepping over a dollar to pick up a dime. Why steal something when it is more profitable to take part in validating it?
It seems like every other day there’s another mind-boggling data breach at one of the world’s most trusted companies. https://preview.redd.it/dotihufoyo511.png?width=640&format=png&auto=webp&s=0adcf1c4a6f688d70b54973e097dd7afa702bdd4
While some institutions may have no choice but to store your data in a central depository, like a hospital or Equifax, the ones that profit the most have no reason except profit to keep your details on their servers.
In Google’s defense, they do have an app called Google Takeout
™, which allows you to download every detail that has been collected on you in the Googleverse by any and all of the 89+ apps in the Google ecosystem. It is not like they are forcing us to let them steal our data and sell it without our consent. Although the 20-page take-it-or leave-it opt ins on the apps they use to collect the data are a bit unfair, we are the ones who decided that Google and Facebook could sell it for several thousand dollars per person, per year without any compensation except some free cell phone apps. This begs the question: what would I do with all that data if I had a copy?
Well, at 10x.market, CEO Chris McFayden and President Greg Fogarty say, “roll it up with some sort of data that is 10x more valuable than the information Google has, and then transfer its value to a token, and begin selling it over a distrubuted Smart Contracts Platform. You are now the owner of a data set at least 10x better than the next best source in the marketplace. You now possess the worlds most complete record of the digital you, and you've only just begun.
Advertisers, IOT, and Big Data service providers, as well as all the mixed reality content providers that will be augmenting the world around you with the help of some holographic contact lenses, will all need to come to you through the 10x platform to get the most complete version of the digital you to sync up with all those "event streams' and senors.” Here is what we think you should do at 10x https://preview.redd.it/ezlo0aq7yo511.png?width=747&format=png&auto=webp&s=2e4e60c176b0eca68f08c6b9282c0bc641aa1b45
Things like smartphones, tablets and laptops and flatscreen TVs will no longer be necessary since you will be able to project them holographically into your private version of reality. Even Holographic Keyboards and input tools can be projected into empty space, which means many wireless accessories will disappear too. Maybe we will simply carry a processor with Wi-Fi in our pockets to connect us to the connected world. So where can I get some 10x data so I have a fighting chance at beating Google at the Personal information game?
The Founders of 10x found their opening by accident. While working with a company in the patient engagement software space on a blockchain app that would give their AI driven engagement model the edge in a very competitive industry, Founders Greg Fogarty and Chris McFayden discovered that patients were willing to volunteer data from Fitbits, other wearables, and an app that asks routine questions that a doctor might ask you at a checkup. As it turns out paying patients cash to answer basic questions about lifestyle, habits, and symptoms lower health premiums.
With just the data from a Fitbit and some routine questionnaires, medicine can not only move to a preventative care model, but some might say a predictive diagnostic model where AI assumes many of the responsibilities of a primary care physician. https://preview.redd.it/jf3gnfwcyo511.png?width=747&format=png&auto=webp&s=f0825e440d0e9a3a1d4793bb498be2f08ce3f025
In addition, once employees knew that employers and benefits providers where paying them, the Patient Engagement Platform, that appears to employees as part of their HR departments Wellness Program, saw participation rates that were in line with those of Google Search and Facebook.
Furthermore, the two founders of 10x discovered, during a due diligence exercise, that Medical data was worth 10x more on the black market than Credit Card and Banking Data. If they could just put that information in a digital wallet with the information that Google would give you back for free via Google Takeout ™, they would have the 10x everyone said you needed to compete with Google and Facebook. https://preview.redd.it/qpub6wnfyo511.png?width=740&format=png&auto=webp&s=19f5708f975306d404f19ec30406a123f5d8d0b3
There are literally thousands of companies who sell these Patient Engagement Platforms, and Greg and Chris's client had less than 1% market share after 6 years in business. It was obvious that the play was not in upgrading one platform with Blockchain and equipping it with a token, but rather in making a free app, just like Google has done 89+ times, that gives all the Patient Engagement and Medical Records platforms the kind of advanced AI that their client incorporated to turn Wellness into Predictive Medicine.
Then individuals could start adding other valuable data points that were stranded in data warehouses to their digital data wallets. Things such as:
- Public Records
- Credit Score
- DNA and Biometrics
- Political Party, Policy Preferences
- Connected Car Data
- Connected Home Data
- Connect to LinkedIn and download professional Profile
- Connect to Facebook and download personal Profile
- Connect online Purchase History
- Rewards and Points Programs
- Unstructured Data
- Predictive Markets, i.e. Atlas Predict
Now that all the data is within the control of the individual, all that is needed is a trading platform that provides a fair profit to the creator, a fair price to the owner of the Personal Information, and that gives information of any type a normalized value so that it can be stored as a token which reflects the value of the new infonomics marketplace and the sum total of the personal data transactions carried out over the 10x Platform. If the platform gained significant market share in the buyeseller infonomics ecosystem, the token market cap should increase as the volume of available personal data and buyer and seller transactions increase over time. We all know why they call Big Data by that name. It is because the amount and variety of personal data being collected and generated are getting bigger and more varied with every sensor that is added to the IOT Ecosystem. Now with more of the kind of data that the companies like SAS, IBM, and SAP would like to correlate with, “Unstructured” Real-time data, 10x is not only in the Personal Information business, in grand style, but also all the other hot spaces that will dominate the Ether for the next five to ten years: IOT, Big Data, Mixed Reality.
With Personal Data Profiles selling for between $1000 and $5,000 a year, charging for transactions and managing complex coordination of Smart Contracts executed with the 10x token offers an extremely profitable business model if you consider the lifetime value over ten years is between $10,000 and $50,000 for an individual’s static data profile and real-time location information. This means that with only 2 million customers 10x.market could cross the billion dollar magic line, that makes a run of the mill startup an official Silicon Valley “Unicorn.
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