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020 _a9789811527166
_9978-981-15-2716-6
024 7 _a10.1007/978-981-15-2716-6
_2doi
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072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
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082 0 4 _a004.6
_223
100 1 _aSengupta, Nandita.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aIntrusion Detection
_h[electronic resource] :
_bA Data Mining Approach /
_cby Nandita Sengupta, Jaya Sil.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aXX, 136 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCognitive Intelligence and Robotics,
_x2520-1964
505 0 _aChapter 1. Introduction -- Chapter 2. Discretization -- Chapter 3. Data Reduction -- Chapter 4. Q-Learning Classifiers -- Chapter 5. Hierarchical Q - Learning Classifier -- Chapter 6. Conclusions and Future Research.
520 _aThis book presents state-of-the-art research on intrusion detection using reinforcement learning, fuzzy and rough set theories, and genetic algorithm. Reinforcement learning is employed to incrementally learn the computer network behavior, while rough and fuzzy sets are utilized to handle the uncertainty involved in the detection of traffic anomaly to secure data resources from possible attack. Genetic algorithms make it possible to optimally select the network traffic parameters to reduce the risk of network intrusion. The book is unique in terms of its content, organization, and writing style. Primarily intended for graduate electrical and computer engineering students, it is also useful for doctoral students pursuing research in intrusion detection and practitioners interested in network security and administration. The book covers a wide range of applications, from general computer security to server, network, and cloud security.
650 0 _aComputer networks .
650 0 _aData protection.
650 0 _aCryptography.
650 0 _aData encryption (Computer science).
650 1 4 _aComputer Communication Networks.
650 2 4 _aData and Information Security.
650 2 4 _aCryptology.
700 1 _aSil, Jaya.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811527159
776 0 8 _iPrinted edition:
_z9789811527173
776 0 8 _iPrinted edition:
_z9789811527180
830 0 _aCognitive Intelligence and Robotics,
_x2520-1964
856 4 0 _uhttps://doi.org/10.1007/978-981-15-2716-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c172897
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