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100   $a20201124d2021      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 14$aThe "Essence" of Network Security: An End-to-End Panorama /$fedited by Mohuya Chakraborty, Moutushi Singh, Valentina E. Balas, Indraneel Mukhopadhyay
205   $a1st ed. 2021.
210   $cSpringer Singapore$d2021
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (XXXV, 289 p. 97 illus., 74 illus. in color.)
225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v163
311 1 $a981-15-9316-7 
311   $a981-15-9316-7 
327   $aIntroduction to Network Security Technologies -- A Systematic Review of Digital, Cloud and IoT Forensics -- Blockchain Based Framework for Managing Customer Consent in Open Banking -- A Comprehensive Study of Pros and Cons on Implementation of Block-chain for IoT device Security -- Role of Cryptography in Network Security -- Detection of Malicious URLs using Deep Learning Approach -- Software Defined Network Vulnerabilities -- Demystifying Security on NDN: A survey of Existing Attacks and Open Research Challenges -- Anonymous Traffic Network.
330   $aThis edited book provides an optimal portrayal of the principles and applications related to network security. The book is thematically divided into five segments: Part A describes the introductory issues related to network security with some concepts of cutting-edge technologies; Part B builds from there and exposes the readers to the digital, cloud and IoT forensics; Part C presents readers with blockchain and cryptography techniques; Part D deals with the role of AI and machine learning in the context of network security. And lastly, Part E is written on different security networking methodologies. This is a great book on network security, which has lucid and well-planned chapters. All the latest security technologies are thoroughly explained with upcoming research issues. Details on Internet architecture, security needs, encryption, cryptography along with the usages of machine learning and artificial intelligence for network security are presented in a single cover. The broad-ranging text/reference comprehensively surveys network security concepts, methods, and practices and covers network security policies and goals in an integrated manner. It is an essential security resource for practitioners in networks and professionals who develop and maintain secure computer networks. .
410  0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v163
606   $aTelecommunication
606   $aMachine learning
606   $aCooperating objects (Computer systems)
606   $aBig data
606   $aCommunications Engineering, Networks
606   $aMachine Learning
606   $aCyber-Physical Systems
606   $aBig Data
615  0$aTelecommunication.
615  0$aMachine learning.
615  0$aCooperating objects (Computer systems).
615  0$aBig data.
615 14$aCommunications Engineering, Networks.
615 24$aMachine Learning.
615 24$aCyber-Physical Systems.
615 24$aBig Data.
676   $a005.8
702   $aChakraborty$b Mohuya
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bUtOrBLW
906   $aBOOK
912   $a9910863276303321
996   $aThe "Essence" of Network Security: An End-to-End Panorama$94167336
997   $aUNINA