Application of Artificial Intelligence in Security of Cyber Physical Systems
摘要截稿:
全文截稿: 2020-03-01
影响因子: 2.663
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:硬件 - 3区
• 小类 : 计算机:跨学科应用 - 3区
• 小类 : 工程:电子与电气 - 3区
Overview
The deployment of smart technologies in the communication layer brings new challenges for online monitoring and control of Cyber-Physical Systems (CPS). In addition to the failure of physical infrastructure, CPS is sensitive to cyber attacks on its communication layer. There are many discussions about the role of security-aware design and analysis in the development of modern CPS, such as the smart grid using advanced Artificial Intelligence(AI), and machine learning techniques. Rapid advancement in AI technology enhances the scale, speed, and accuracy of the security in CPS. AI has the potential to be leveraged in different aspects of cyber security, cyber threat detection, and cyber threat intelligence.
This special section will focus on the cutting edge, from both academia and industry, with a particular emphasis on novel practical and theoretical solutions for securing critical infrastructure and CPS using AI-based tools, techniques and procedures. The goal is to provide a sampling of recent advances and ideas on progress of research and the practical usage of AI technologies in addressing security of the CPS.
Topics of interest include:
Applications of intelligent data analytics in CPS
Cyber investigation and threat intelligence utilizing AI solutions
Applications of blockchain and smart contracts in securing CPS
Threat intelligence techniques for cyber-attack detection, and reaction in CPS
Application of AI in vulnerability and risk analysis for CPS
AI-based security tools, techniques and procedures for the Internet of Things (IoT)
Intelligent analysis of different types of data collected from different layers of CPS
Intelligent access control and key management for CPS
Application of AI in CPS system security and privacy modeling and simulation
Intelligent AI-based control strategies to improve CPS performance
Design, optimization and data-driven modeling of CPS