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Security, privacy and data analyticsselect proceedings of ISPDA 2021 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Security, privacy and data analyticsedited by Udai Pratap Rao ... [et al.].
Reminder of title:	select proceedings of ISPDA 2021 /
remainder title:	ISPDA 2021
other author:	Rao, Udai Pratap.
corporate name:
Published:	Singapore :Springer Singapore :2022.
Description:	x, 317 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer securityCongresses.
Online resource:	https://doi.org/10.1007/978-981-16-9089-1
ISBN:	9789811690891$q(electronic bk.)

Security, privacy and data analyticsselect proceedings of ISPDA 2021 /
Security, privacy and data analyticsselect proceedings of ISPDA 2021 /[electronic resource] :ISPDA 2021edited by Udai Pratap Rao ... [et al.]. - Singapore :Springer Singapore :2022. - x, 317 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 8481876-1119 ;. - Lecture notes in electrical engineering ;v.132..

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.

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.

ISBN: 9789811690891$q(electronic bk.)

Standard No.: 10.1007/978-981-16-9089-1doiSubjects--Topical Terms:

383239
Computer security
--Congresses.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Security, privacy and data analyticsselect proceedings of ISPDA 2021 /
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