Network security and artificial intelligence meet sparks or fire pits?

With the advent of the Internet of Everything, the Internet accepts access to all types of devices in an "open" and "tolerant" manner. While bringing more convenient life, all kinds of unexpected network security risks are quietly lurking around us. . In 2017, the WannaCry virus and the Petya virus swept the world, attacking more than 100 countries and organizations in just a few hours, which had a serious impact on people's psychological, property and privacy information.
Nowadays, the boundary of network security is becoming more and more blurred. How to use artificial intelligence to better integrate and enhance the network security industry will become a research hotspot in the industry. In the next decade or so, artificial intelligence will be everywhere. Its powerful computing power, deep learning ability and the “naturally-generated” automation attribute will put the artificial intelligence on the forward engine and constantly improve the problem-solving. At the same time, it is constantly being combined with more fields.
It is worth noting that due to the gradual increase in the number and type of network viruses, network security has once again received unprecedented attention. At the same time, with the rapid development of artificial intelligence, its superior automation plays an increasingly important role in network security defense and attacks. The more important the role.
In Gartner's 2017 Annual Emerging Technology Maturity Curve Report, ubiquitous artificial intelligence has been deployed in deep learning, autonomous driving, target recognition, face recognition, human-machine dialogue, cognitive computing, commercial drones (unmanned Machine), dialogue user interface, enterprise taxonomy and ontology management, machine learning, smart dust, intelligent robots, smart space and other emerging technologies.
Similarly, artificial intelligence in the security field has also brought new opportunities for the development of the industry. Security is the premise of the development of the industry. Development is the guarantee of security, automation of artificial intelligence and powerful data analysis capabilities. It is possible to realize faster and more accurate vulnerability discovery and repair. More and more enterprises and manufacturers are also Start to use its advantages to combat network security threats and network anomaly detection, and upgrade the network security detection system.
But back in history, since the Internet, there have been cyber attacks. Although artificial intelligence has a strong learning ability, you may sometimes find that they are stupid. Chen Haibo, a professor at the School of Software at Shanghai Jiaotong University, said, “What makes AI artificially shocked is that it can be done so well in a closed environment, but what disappoints him is that it is done in an open environment. Difference."
Because modern computers do not have complex abstract thinking ability, and they are far from the imaginary wisdom life, it is easy to be deceived by the current deep learning system, automatic driving system, face recognition algorithm and industrial control. There are security vulnerabilities in the system and so on, which will leave hackers with a chance. There is another situation where hackers use artificial intelligence tools and techniques to achieve intrusion and steal your private data silently.

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