LEADER 02289nam 2200661 a 450 001 9910458834103321 005 20210106204620.0 010 $a1-282-76100-5 010 $a9786612761003 010 $a0-472-02213-X 035 $a(CKB)2560000000050754 035 $a(OCoLC)680623210 035 $a(CaPaEBR)ebrary10412487 035 $a(SSID)ssj0000631151 035 $a(PQKBManifestationID)11420408 035 $a(PQKBTitleCode)TC0000631151 035 $a(PQKBWorkID)10592090 035 $a(PQKB)10427955 035 $a(SSID)ssj0000411730 035 $a(PQKBManifestationID)11314279 035 $a(PQKBTitleCode)TC0000411730 035 $a(PQKBWorkID)10357193 035 $a(PQKB)11640619 035 $a(MiAaPQ)EBC3414920 035 $a(EXLCZ)992560000000050754 100 $a20150424d2010|||| s|| | 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aAmericans, Congress, and Democratic Responsiveness : Public Evaluations of Congress and Electoral Consequences$b[electronic resource] 210 $aAnn Arbor, MI, USA$cUniversity of Michigan Press$d20100701 210 $cUniversity of Michigan Press 215 $a1 online resource (234 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-472-03409-X 606 $aPOLITICAL SCIENCE$2bisac 606 $aAmerican Government / General$2bisac 606 $aVoting$zUnited States 606 $aPublic opinion$zUnited States 606 $aGovernment - U.S$2HILCC 606 $aLaw, Politics & Government$2HILCC 606 $aPolitical Institutions & Public Administration - U.S., Legislative Branch$2HILCC 615 7$aPOLITICAL SCIENCE 615 7$aAmerican Government / General 615 0$aVoting 615 0$aPublic opinion 615 7$aGovernment - U.S. 615 7$aLaw, Politics & Government 615 7$aPolitical Institutions & Public Administration - U.S., Legislative Branch 676 $a328.73 700 $aJones$b David R$0196542 702 $aMcDermott$b Monika L 801 0$bPQKB 906 $aBOOK 912 $a9910458834103321 996 $aAmericans, Congress, and Democratic Responsiveness : Public Evaluations of Congress and Electoral Consequences$92465420 997 $aUNINA LEADER 02593oam 2200505 450 001 9910818815903321 005 20190911103513.0 010 $a0-429-16687-7 010 $a1-4665-8209-X 024 7 $a10.1201/b15088 035 $a(OCoLC)856570433 035 $a(MiFhGG)GVRL8QDF 035 $a(EXLCZ)992670000000400633 100 $a20130425h20142014 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aNetwork anomaly detection $ea machine learning perspective /$fDhruba Kumar Bhattacharyya, Jugal Kumar Kalita 210 1$aBoca Raton :$cCRC Press, Taylor & Francis Group,$d[2014] 210 4$d?2014 215 $a1 online resource (xxv, 340 pages) $cillustrations 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 $a1-4665-8208-1 320 $aIncludes bibliographical references. 327 $aFront Cover; Dedication; Contents; List of Figures; List of Tables; Preface; Acknowledgments; Abstract; Authors; 1. Introduction; 2. Networks and Anomalies; 3. An Overview of Machine Learning Methods; 4. Detecting Anomalies in Network Data; 5. Feature Selection; 6. Approaches to Network Anomaly Detection; 7. Evaluation Methods; 8. Tools and Systems; 9. Open Issues, Challenges and Concluding Remarks; References 330 $aThis book discusses detection of anomalies in computer networks from a machine learning perspective. It introduces readers to how computer networks work and how they can be attacked by intruders in search of fame, fortune, or challenge. The reader will learn how one can look for patterns in captured network traffic data to look for anomalous patterns that may correspond to attempts at unauthorized intrusion. The reader will be given a technical and sophisticated description of such algorithms and their applications in the context of intrusion detection in networks--$cProvided by publisher. 606 $aComputer networks$xSecurity measures 606 $aIntrusion detection systems (Computer security) 606 $aMachine learning 615 0$aComputer networks$xSecurity measures. 615 0$aIntrusion detection systems (Computer security) 615 0$aMachine learning. 676 $a005.8 686 $aCOM037000$aCOM053000$aCOM083000$2bisacsh 700 $aBhattacharyya$b Dhruba K.$01611379 702 $aKalita$b Jugal Kumar 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910818815903321 996 $aNetwork anomaly detection$93939628 997 $aUNINA