000			04997nam a22002777a 4500
005			20250522103134.0
008			250522b |||||||| |||| 00| 0 eng d
020			_a9781032686721
082			_a006.3 _bDUT
245			_aArtificial intelligence solutions for cyber-physical systems
260			_bCRC Press _aBoca Raton _c2025
300			_axii, 452 p.
365			_aGBP _b175.00
500			_aTable of Contents: Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. The latest technology trends and security management strategies for smart manufacturing environments, with a focus on human cyber-physical systems (HCPS) – the fusion of human, machine, and information systems. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and machine learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures. Artificial Intelligence Solutions for Cyber-Physical Systems discusses such best practices and frameworks as NIST Cybersecurity Framework, ISO/IEC 27001, and IEC 62443. of advanced technologies. It presents strategies and methods to mitigate risks and enhance security, including cybersecurity frameworks, secure communication protocols, and access control measures. The book also focuses on the design, implementation, and management of secure HCPS in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications for HCPS. The book highlights the importance of securing communication protocols, the role of artificial intelligence and machine learning in threat detection and mitigation, and the need for robust cybersecurity frameworks in the context of smart manufacturing.
520			_aSmart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and machine learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures. Artificial Intelligence Solutions for Cyber-Physical Systems discusses such best practices and frameworks as NIST Cybersecurity Framework, ISO/IEC 27001, and IEC 62443 of advanced technologies. It presents strategies and methods to mitigate risks and enhance security, including cybersecurity frameworks, secure communication protocols, and access control measures. The book also focuses on the design, implementation, and management of secure HCPS in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications, for HCPS. The book highlights the importance of securing communication protocols, the role of artificial intelligence and machine learning in threat detection and mitigation, and the need for robust cybersecurity frameworks in the context of smart manufacturing. (https://www.routledge.com/Artificial-Intelligence-Solutions-for-Cyber-Physical-Systems/Dutta-RajChelliah-Sundaravadivazhagan-Selvan/p/book/9781032686721)
650			_aArtificial intelligence
650			_aIT security _923418
650			_aIntelligent systems
650			_aRobotics & Cybernetics _924327
650			_aCyber security _915504
700			_aDutta, Pushan Kumar [Editor] _924328
700			_aChelliah, Pethuru Raj [Editor] _924329
700			_aSundaravadivazhagan, B. [Editor] _924330
700			_aSelvan, Chithirai Pon [Editor] _924331
942			_cBK _2ddc
999			_c10010 _d10010