Lecture Notes in Electrical Engineering Security, Privacy and Data Analytics

The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. This book will emerge as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners across the globe.