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100   $a20220901d2022      u|             0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBig Data Analytics and Computational Intelligence for Cybersecurity$b[electronic resource] /$fedited by Mariya Ouaissa, Zakaria Boulouard, Mariyam Ouaissa, Inam Ullah Khan, Mohammed Kaosar
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (336 pages)
225 1 $aStudies in Big Data,$x2197-6511 ;$v111
311 08$aPrint version: Ouaissa, Mariya Big Data Analytics and Computational Intelligence for Cybersecurity Cham : Springer International Publishing AG,c2022 9783031057519 
320   $aIncludes bibliographical references and index.
327   $aNew Advancements in Cybersecurity: A Comprehensive Survey -- CPSs Communication using 5G Network in the Light of Security -- A Survey on Security Aspects in RPL Protocol over IoT Network -- Analysis of Cybersecurity Risks and their Mitigation for Work-from-Home Tools and Techniques -- A Systemic Security and Privacy Review: Attacks and Prevention Mechanisms over IoT Layers -- Software-Defined Networking Security: A Comprehensive Review.
330   $aThis book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It illustrates the latest trends in AI/ML-based strategic defense mechanisms against malware, vulnerabilities, cyber threats, as well as proactive countermeasures. It also introduces other trending technologies, such as blockchain, SDN, and IoT, and discusses their possible impact on improving security. The book discusses the convergence of AI/ML and big data in cybersecurity by providing an overview of theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in different approaches of security. It also displays solutions that will help analyze complex patterns in user data and ultimately improve productivity. This book can be a source for researchers, students, and practitioners interested in the fields of artificial intelligence, cybersecurity, data analytics, and recent trends of networks.
410  0$aStudies in Big Data,$x2197-6511 ;$v111
606   $aEngineering$xData processing
606   $aComputational intelligence
606   $aBig data
606   $aArtificial intelligence
606   $aCooperating objects (Computer systems)
606   $aData Engineering
606   $aComputational Intelligence
606   $aBig Data
606   $aArtificial Intelligence
606   $aCyber-Physical Systems
615  0$aEngineering$xData processing.
615  0$aComputational intelligence.
615  0$aBig data.
615  0$aArtificial intelligence.
615  0$aCooperating objects (Computer systems).
615 14$aData Engineering.
615 24$aComputational Intelligence.
615 24$aBig Data.
615 24$aArtificial Intelligence.
615 24$aCyber-Physical Systems.
676   $a005.7
702   $aOuaissa$b Mariya
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996490366603316
996   $aBig data analytics and computational intelligence for cybersecurity$93363949
997   $aUNISA