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010   $a981-15-1706-1
024 7 $a10.1007/978-981-15-1706-8
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035   $a(MiAaPQ)EBC6000805
035   $a(DE-He213)978-981-15-1706-8
035   $a(PPN)242817939
035   $a(EXLCZ)995280000000190053
100   $a20191216d2020      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMachine Learning Approaches in Cyber Security Analytics$b[electronic resource] /$fby Tony Thomas, Athira P. Vijayaraghavan, Sabu Emmanuel
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (217 pages)
311   $a981-15-1705-3 
327   $aChapter 1. Introduction -- Chapter 2. Machine Learning Algorithms -- Chapter 3. Machine Learning in Cyber Security Analytics -- Chapter 4. Applications of Support Vector Machines -- Chapter 5. Applications of Nearest Neighbor -- Chapter 6. Applications of Clustering -- Chapter 7. Applications of Dimensionality Reduction -- Chapter 8. Applications of other Machine Learning Methods.
330   $aThis book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and identify cyber attacks. .
606   $aComputer security
606   $aApplication software
606   $aData encryption (Computer science)
606   $aComputer crimes
606   $aData structures (Computer science)
606   $aSystems and Data Security$3https://scigraph.springernature.com/ontologies/product-market-codes/I28060
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
606   $aCryptology$3https://scigraph.springernature.com/ontologies/product-market-codes/I28020
606   $aCybercrime$3https://scigraph.springernature.com/ontologies/product-market-codes/1B7000
606   $aData Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I15017
615  0$aComputer security.
615  0$aApplication software.
615  0$aData encryption (Computer science).
615  0$aComputer crimes.
615  0$aData structures (Computer science).
615 14$aSystems and Data Security.
615 24$aInformation Systems Applications (incl. Internet).
615 24$aCryptology.
615 24$aCybercrime.
615 24$aData Structures.
676   $a005.8
700   $aThomas$b Tony$4aut$4http://id.loc.gov/vocabulary/relators/aut$0222391
702   $aP. Vijayaraghavan$b Athira$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aEmmanuel$b Sabu$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996465446203316
996   $aMachine Learning Approaches in Cyber Security Analytics$91916540
997   $aUNISA