期刊名称
Security and Communication Networks
影响因子
1.288
期刊难度
★
★
★
领域
网络安全
CCF分类
C类
JCR分区
• 大类 : 计算机科学 - 4区
• 小类 : 计算机：信息系统- 4区
• 小类 : 电信学- 4区
Security Threats to Artificial Intelligence-Driven Wireless Communication Systems 2021
Due to the openness of wireless channels, wireless communication systems are extremely vulnerable to attacks, counterfeiting, and eavesdropping. With the widespread adoption of artificial intelligence (AI) technologies in fifth generation (5G) and beyond fifth generation (B5G) networks, AI-based attacks have emerged as new threats to wireless communication systems. Deep learning-based end-to-end communication systems are extremely susceptible to physical adversarial attacks which can cause a serious reduction in the accuracy of signal classification or radio modulation recognition.
Intelligent threats can utilise AI to attack future networks, related services, and applications that use deep learning algorithms where small disturbances can be easily designed and generated by attackers. However, researchers still need to consider how best to protect 5G and B5G networks from AI-related attacks. Furthermore, defense strategies of adversarial attacks for future communication systems are still underdeveloped and inefficient.
The aim of this Special Issue is to solicit original articles, as well as review articles, analysing the security threats, challenges, and mechanisms inherent in AI-driven wireless communication systems. Submissions discussing potential defense approaches, and strategies to combat intelligent attacks on such systems are particularly encouraged.
Publishing date
01 Sep 2021
Submission deadline
16 Apr 2021
Potential topics include but are not limited to the following:
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Architectures, simulators, scenarios, and applications tuned to security and privacy issues for AI-driven wireless communication systems
