LEADER 06347nam 22007215 450 001 9910410051603321 005 20250610110324.0 010 $a3-030-38557-4 024 7 $a10.1007/978-3-030-38557-6 035 $a(CKB)4100000010673985 035 $a(DE-He213)978-3-030-38557-6 035 $a(MiAaPQ)EBC6142262 035 $a(PPN)243228961 035 $a(MiAaPQ)EBC29090271 035 $a(EXLCZ)994100000010673985 100 $a20200318d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Big Data Privacy /$fedited by Kim-Kwang Raymond Choo, Ali Dehghantanha 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 397 p. 149 illus., 141 illus. in color.) 311 08$a3-030-38556-6 327 $a1. Big Data and Privacy : Challenges and Opportunities -- 2. AI and Security of Critical Infrastructure -- 3. Industrial Big Data Analytics: Challenges and Opportunities -- 4. A Privacy Protection Key Agreement Protocol Based on ECC for Smart Grid -- 5. Applications of Big Data Analytics and Machine Learning in the Internet of Things -- 6. A Comparison of State-of-the-art Machine Learning Models for OpCode-Based IoT Malware Detection -- 7. Artificial Intelligence and Security of Industrial Control Systems -- 8. Enhancing Network Security via Machine Learning: Opportunities and Challenges -- 9. Network Security and Privacy Evaluation Scheme for Cyber Physical Systems (CPS) -- 10. Anomaly Detection in Cyber-Physical Systems Using Machine Learning -- 11. Big Data Application for Security of Renewable Energy Resources -- 12. Big-Data and Cyber-Physical Systems in Healthcare: Challenges and Opportunities -- 13. Privacy Preserving Abnormality Detection: A Deep Learning Approach.-14. Privacy and Security in Smart and Precision Farming: A Bibliometric Analysis -- 15. A Survey on Application of Big Data in Fin Tech Banking Security and Privacy -- 16. A Hybrid Deep Generative Local Metric Learning Method For Intrusion Detection -- 17. Malware elimination impact on dynamic analysis: An experimental machine learning approach -- 18. RAT Hunter: Building Robust Models for Detecting Remote Access Trojans Based on Optimum Hybrid Features -- 19. Active Spectral Botnet Detection based on Eigenvalue Weighting -- . 330 $aThis handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference. 606 $aData protection 606 $aComputer organization 606 $aArtificial intelligence 606 $aComputers 606 $aSecurity$3https://scigraph.springernature.com/ontologies/product-market-codes/I28000 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 606 $aSeguretat informàtica$2thub 606 $aDades massives$2thub 606 $aProtecció de dades$2thub 606 $aIntel·ligència artificial$2thub 608 $aLlibres electrònics$2thub 615 0$aData protection. 615 0$aComputer organization. 615 0$aArtificial intelligence. 615 0$aComputers. 615 14$aSecurity. 615 24$aComputer Systems Organization and Communication Networks. 615 24$aArtificial Intelligence. 615 24$aInformation Systems and Communication Service. 615 7$aSeguretat informàtica 615 7$aDades massives 615 7$aProtecció de dades 615 7$aIntel·ligència artificial. 676 $a005.8 702 $aChoo$b Kim-Kwang Raymond$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDehghantanha$b Ali$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910410051603321 996 $aHandbook of Big Data Privacy$92025672 997 $aUNINA LEADER 02793oas 2201117 a 450 001 9910144055903321 005 20251119213018.0 011 $a1467-968X 035 $a(DE-599)ZDB1495494-1 035 $a(OCoLC)40485840 035 $a(CONSER) 2009233371 035 $a(CKB)954925460083 035 $a(EXLCZ)99954925460083 100 $a19981214a18549999 sy a 101 0 $aeng 135 $aurmnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTransactions of the Philological Society 210 $a[Oxford] $cBlackwell Publishers 210 31$aOxford :$cJohn Wiley & Sons Ltd 300 $aRefereed/Peer-reviewed 311 08$a0079-1636 531 0 $aTrans. 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