02236cam a2200349Ii 4500001001500000003000800015005001700023006001900040007000700059008004100066020003200107040003100139100003900170245011500209264003700324264001100361300003900372336002000411337002200431338003100453504006600484505030900550520060200859530003501461650004101496650005101537650002101588655002701609700003301636776006201669856015501731CAH0KE22797PDFFlBoTFG20171224123324.0m|||||o||d||||||||cr||||131227t20142014fluad   ob    001 0 eng d  a9781466582095 (ebook : PDF)  aFlBoTFGbengcFlBoTFGerda1 aBhattacharyya, Dhruba K.,eauthor.10aNetwork anomaly detection :ba machine learning perspective /cDhruba Kumar Bhattacharyya, Jugal Kumar Kalita. 1aBoca Raton :bCRC Press,c[2014] 4c�201  a1 online resource :btext file, PD  atext2rdaconten  acomputer2rdamedi  aonline resource2rdacarrie  aIncludes bibliographical references (pages 295-336) and index  a1. 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  a"This 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  aAlso available in print format  aComputer networksxSecurity measures  aIntrusion detection systems (Computer security  aMachine learning  aElectronic books.2lcs  aKalita, Jugal Kumar,eauthor  iPrint version:z9781466582088 (hardback : acid-free paper  uhttp://marc.crcnetbase.com/isbn/9781466582095qapplication/PDFzDistributed by publisher. Purchase or institutional license may be required for access