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001443179 001__ 1443179
001443179 003__ OCoLC
001443179 005__ 20230310003531.0
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001443179 019__ $$a1287956684$$a1287993986$$a1288028154$$a1288137310$$a1294349792$$a1294359267$$a1296665861
001443179 020__ $$a9783030890254$$q(electronic bk.)
001443179 020__ $$a3030890252$$q(electronic bk.)
001443179 020__ $$z3030890244
001443179 020__ $$z9783030890247
001443179 0247_ $$a10.1007/978-3-030-89025-4$$2doi
001443179 035__ $$aSP(OCoLC)1288212517
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001443179 049__ $$aISEA
001443179 050_4 $$aQ325.5
001443179 08204 $$a006.3/1$$223
001443179 1001_ $$aAbdel-Basset, Mohamed,$$d1985-
001443179 24510 $$aDeep learning techniques for IoT security and privacy /$$cMohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding.
001443179 260__ $$aCham :$$bSpringer,$$c[2022]
001443179 300__ $$a1 online resource (273 pages)
001443179 336__ $$atext$$btxt$$2rdacontent
001443179 337__ $$acomputer$$bc$$2rdamedia
001443179 338__ $$aonline resource$$bcr$$2rdacarrier
001443179 347__ $$atext file
001443179 347__ $$bPDF
001443179 4901_ $$aStudies in Computational Intelligence ;$$vv. 997
001443179 504__ $$aIncludes bibliographical references.
001443179 5050_ $$aChapter 1, Conceptualization of Security, Forensics, and Privacy of Internet of Things -- Chapter 2, Internet of Things, Preliminaries and Foundations -- Chapter 3, Internet of Things Security Requirements, Threats, Countermeasures -- Chapter 4, Digital Forensics in Internet of Things -- Chapter 5, Supervised Deep Learning for Secure Internet of Things -- Chapter 6, Unsupervised Deep Learning for Secure Internet of Things -- Chapter 7, Semi-supervised Deep Learning for Secure Internet of Things -- Chapter 8, Reinforcement Learning for Secure Internet of Things -- Chapter 9, Federated Learning for Privacy-Preserving Internet of Things -- Chapter 10, Challenges, Opportunities, and Future Prospects.
001443179 506__ $$aAccess limited to authorized users.
001443179 520__ $$aThis book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
001443179 650_0 $$aMachine learning.
001443179 650_0 $$aInternet of things$$xSecurity measures.
001443179 650_6 $$aApprentissage automatique.
001443179 650_6 $$aInternet des objets$$xSécurité$$xMesures.
001443179 655_0 $$aElectronic books.
001443179 7001_ $$aMoustafa, Nour.
001443179 7001_ $$aHawash, Hossam.
001443179 7001_ $$aDing, Weiping.
001443179 77608 $$iPrint version:$$aAbdel-Basset, Mohamed.$$tDeep Learning Techniques for IoT Security and Privacy.$$dCham : Springer International Publishing AG, ©2022$$z9783030890247
001443179 830_0 $$aStudies in computational intelligence ;$$vv. 997.
001443179 852__ $$bebk
001443179 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89025-4$$zOnline Access$$91397441.1
001443179 909CO $$ooai:library.usi.edu:1443179$$pGLOBAL_SET
001443179 980__ $$aBIB
001443179 980__ $$aEBOOK
001443179 982__ $$aEbook
001443179 983__ $$aOnline
001443179 994__ $$a92$$bISE