IoT and AI Can Help in Fighting Cyber Threats

Base on the AV-TEST, about 390,000 malicious codes are introduced in the World Wide Web everyday with the goals of hacking private data, sensitive and financial information. A regular group in the Enterprise goes down over $1.3 million in a year because of fake security alerts set off by puzzlement due to the human component in the finding procedures of cyber threats. The EMC Global Data Protection Index says that in the UK, about 22% business experienced data lost in 2015. Specialists are now turning to inconceivable possible of IoT or Internet of Things and AI or Artificial Intelligence to battle with hacking attacks and cyber crimes.

Here, it talks about particular cases that proved IoT and AI are the best options that are effective and sustainable in fighting cyber crime in the coming generation.

Investigation through the use of Connected Devices and Sensors

In November of 2016, federal officers were assisted with meters and water sensors in solving murder cases. How? The water sensor from suspect illustrates that about 140 gallons of water has been used between 2 hours on the day of the murder took place. Then, investigations exposed that the water was applied to squirt on the patio spot in clearing the murder scene. IoT and Smart home tools will help in battling cyber crime and the real life crimes because of these devices that can be applied by everyone, and arises the possibilities of hunting the culprits. Administration from around the world can make it compulsory for each home to have internet tracking devices and sensors that will assist the researchers in tracking down the starting points of cyber crimes.

iot and ai connected devices and sensors

MIT AI-Based System

We are witnessing the increase of the safety bots, and that can best select avert cyber attacks and foresee them even before they will be launched totally. Researchers from MIT’s CSAIL or Computer Science and Artificial Intelligence Laboratory and the device-learning set up PatternEx created a system known as AI2 that predicts 85% of cyber-attacks from the inputs coming from the human security experts. The method discovered from the inputs and seizes time to be almost great. Whenever a human specialist successfully foresees a strike, it logs the data and crosses through every hints that were applied to foresee the attack. Likewise, the technique also applied decision trees in any case there will be bad predictions. Here is an introductory video about this system:

IBM Watson System

IBM’s Watson cognitive computing is by now battling with cyber crime in the business. Throughout 40 corporations such as health and insurance companies, software firms, and famous banks were applying IBM Watson security methods to slope up their safety towards relentless cyber-strikes. About 15,000 security papers were set to Watson as the input in the usual organization which assists the system in improving and learning. IBM has a particular cyber security investigation library known as the X-Force, which had patterns of around 8 million spams and phishing strikes and about 100,000 documented susceptibilities. These papers will make IBM’s methods a great device to computerize anti-cyber crime components from around the world. Watson has an inquiry and answer feature. One example is, if a security specialist inquires about how to obstruct an apart login for a specific system, Watson tells all the steps that will be needed for the job, and gives documents and important links to read.

IoT and AI of Palantir Technologies

Palantir Technologies is a Palo Alto-based cyber security company that shines in online counteract-terrorism solutions. This company was established by the tech billionaire, Mr. Peter Theil. This company applies Big Data study to reveal and backtracked cyber attacks. The two products, Palantir Metropolis, and Palantir Gotham were applied by government sector organizations, the CIA, and some private sectors in the US.  Palantir’s software is presently being applied by Transparency Board and Recovery Accountability to identify online frauds in the American Recovery and the Reinvestment Act.


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