000			02804nam a2200217 4500
005			20250714163854.0
008			250714b2024|||||||| |||| 00| 0 eng d
020			_a9781394213931
041			_aEnglish
082			_a005.8
100			_aTyagi, Amit Kumar _eAuthor _96534
245			_aAutomated secure computing for next-generation systems
260			_aNew Jersey: _bWiley Data and Cybersecurity, _c2024.
300			_axix, 443p.
500			_aAUTOMATED SECURE COMPUTING FOR NEXT-GENERATION SYSTEMS This book provides cutting-edge chapters on machine-empowered solutions for next-generation systems for today’s society. Security is always a primary concern for each application and sector. In the last decade, many techniques and frameworks have been suggested to improve security (data, information, and network). Due to rapid improvements in industry automation, however, systems need to be secured more quickly and efficiently. It is important to explore the best ways to incorporate the suggested solutions to improve their accuracy while reducing their learning cost. During implementation, the most difficult challenge is determining how to exploit AI and ML algorithms for improved safe service computation while maintaining the user’s privacy. The robustness of AI and deep learning, as well as the reliability and privacy of data, is an important part of modern computing. It is essential to determine the security issues of using AI to protect systems or ML-based automated intelligent systems. To enforce them in reality, privacy would have to be maintained throughout the implementation process. This book presents groundbreaking applications related to artificial intelligence and machine learning for more stable and privacy-focused computing. By reflecting on the role of machine learning in information, cyber, and data security, Automated Secure Computing for Next-Generation Systems outlines recent developments in the security domain with artificial intelligence, machine learning, and privacy-preserving methods and strategies. To make computation more secure and confidential, the book provides ways to experiment, conceptualize, and theorize about issues that include AI and machine learning for improved security and preserve privacy in next-generation-based automated and intelligent systems. Hence, this book provides a detailed description of the role of AI, ML, etc., in automated and intelligent systems used for solving critical issues in various sectors of modern society.
650			_aDigital Twin Technology _96535
650			_aAn Intersection Between Machine Learning, Security, and Privacy _96536
650			_aArtificial Intelligence for Cyber Security _96537
856			_uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=10554376
942			_cEB
999			_c1621 _d1621