How to resist the Internet of things network attack driven by artificial intelligence?

liu, tempo Date: 2021-09-29 10:25:20
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Hackers began to use artificial intelligence technology in DDoS attacks, which put most enterprises in trouble. So what can compete with it? According to foreign media reports, cyber attacks have entered a new era. The advanced attacks from the botnet of the Internet of things put enterprises in trouble because enterprises do not have the corresponding tools to deal with this advanced technology.


The number of Internet of things devices is growing every day, and it is expected to exceed 30 billion by 2021. The world’s dependence on them is also gradually increasing. More and more hackers also turn their attention to them. Hackers can carry out complex attacks on insecure connected devices. For example, DDoS attacks are becoming more and more common, which may seriously damage our way of life.


But now, hackers also use artificial intelligence technology in DDoS attacks. With AI, cyber criminals can make cloud services useless and easy to escape. IOT systems are often exposed to devices with low security standards. They are always on and rarely monitored, which makes it easy for hackers to close or control a large number of devices.


DDoS attacks


Because hackers began to use artificial intelligence and machine learning to launch powerful DDoS attacks, these attacks became more difficult to stop. Previous attacks required manual operation, but after the artificial intelligence technology joined the DDoS attack, hackers can attack the device completely automatically and change the attack quickly.


The randomness of Internet traffic further exacerbates this problem. It is difficult to distinguish between legitimate Internet traffic and malicious traffic, which is usually the biggest problem to defend against DDoS attacks. Coupled with advanced artificial intelligence attacks, many enterprises are unable to defend.


In order to counter the artificial intelligence driven botnet of the Internet of things, a network defense system based on artificial intelligence is needed. Artificial intelligence systems are very precise, can learn automatically, can also deal with multiple problems, and change their defense methods at the same speed as attackers.


The new generation of attackers are constantly learning and changing their technology, and the next generation of artificial intelligence network defense system also needs to keep up with the pace of attackers. At present, few network defense systems use supervised learning. Building this system needs to use a set of stable data for training. Because Internet traffic is difficult to handle, this method can not prevent attacks based on artificial intelligence or machine learning.


Therefore, the new generation of defense systems need to use unsupervised learning methods to identify Internet traffic, potential attacks and so on. This technology does not need training. Just like the human immune system, it can adapt and change itself to deal with upcoming threats.


A report analyzing the malicious use of artificial intelligence said that hackers can use this technology to change society, and we should be ready for the next wave of attacks. Using artificial intelligence to invade Internet of things devices threatens human life. Solving this crisis requires a new generation of powerful network artificial intelligence defense.

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