Cyber Security and AI—2nd Edition

Dear Colleagues,

Cyber security is the protection of internet-connected sensor systems, such as hardware, software, and data, from cyberthreats. These cyberattacks are usually aimed at accessing, changing, or destroying sensitive information collected by sensors or interrupting normal business processes. Recently, with the fast development of artificial intelligence (AI), some classical cyber security problems in sensors have been solved. However, new technologies are gradually being used by criminals, which causes new security issues for cyberspace in sensors. The vulnerabilities of the system can be easily found, which makes the system easier to attack. When AI is applied to large-scale sensor network attacks, attackers can adaptively generate attack programs and pass a large number of automated attacks. Using AI, attackers can hide attack behaviors, attack paths, etc., making it more difficult for defenders to detect and prevent such attacks. AI technology may also be used to steal secret data from users, thereby causing more serious security problems. AI technology can be used to improve cyber security in sensors and can also cause many new security issues for cyberspace in sensors. This Special Issue of Sensors is dedicated to original research and recent developments in cyber security and AI in sensors.

This Special Issue covers all topics related to cyber security and AI.

Prof. Dr. Yushu Zhang
Dr. Zhongyun Hua
Guest Editors

Manuscript Submission Information

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• AI and machine learning for cybersecurity
• adversarial attack for cybersecurity
• generative adversarial networks for cybersecurity
• automated and intelligent and data-driven cybersecurity model
• AI security and neural networks
• cloud computing security and AI
• AI for multimedia networks security
• security and privacy of AIGC