Security, Privacy and Data Analytics : Select Proceedings of ISPDA 2021 (Lecture Notes in Electrical Engineering)

Rao, Udai Pratap (EDT)/ Patel, Sankita J. (EDT)/ Raj, Pethuru (EDT)

Springer Verlag, Singapore（2022/04発売）

• 製本 Hardcover:ハードカバー版／ページ数 317 p.
• 言語 ENG
• 商品コード 9789811690884
• DDC分類 005.8

Full Description

This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2021. The volume covers a wide range of 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. The book will serve as a valuable reference resource for academics and researchers across the globe.

Contents

Chapter 1: NITG Chain: A Scalable, Private and Permissioned Blockchain with Proof of Reputation Consensus Method.- Chapter 2: Safeguarding Geo-location for Social Media with Local Differential Privacy and l-diversity.- Chapter 3: Detection of False Data Injection Cyber Attack in Smart Grid by Convolutional Neural Network based Deep Learning Technique.- Chapter 4: Democratic After-Market for Domain Names.- Chapter 5: Defect analysis of Faulty regions in Photovoltaic Panels using Deep Learning method.- Chapter 6: Leveraging a honeypot router for discovering and characterizing attacks on routers.- Chapter 7: Multimodal Biometric Authentication using Watermarking Technique.