Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
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ISBN 10: 3848448696 ISBN 13: 9783848448692
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ISBN 10: 3848448696 ISBN 13: 9783848448692
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Aggiungi al carrelloPaperback. Condizione: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Feb 2014, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
Da: Wegmann1855, Zwiesel, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Network security is a serious global concern. The increasing prevalence of malware and incidents of attacks hinders the utilization of the Internet to its greatest benefit and incur significant economic losses. The traditional approaches in securing systems against threats are designing mechanisms that create a protective shield, almost always with vulnerabilities. This has created Intrusion Detection Systems to be developed that complement traditional approaches. However, with the advancement of computer technology, the behavior of intrusions has become complex that makes the work of security experts hard to analyze and detect intrusions. In order to address these challenges, Artificial Intelligence based techniques have become a promising solution. However, the individual techniques report low detection accuracy and high false positive rate in intrusion detection. The accuracy may be enhanced by using ensemble techniques comprised of multiple techniques. The multiple techniques can be combined in a number of ways to enhance the detection results.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Intrusion detection using artificial intelligence based ensembles | An effective combination technique | Jabarweer Singh (u. a.) | Taschenbuch | 116 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783848448692 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Feb 2014, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
Da: Books-by-Floh, Paderborn, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Network security is a serious global concern. The increasing prevalence of malware and incidents of attacks hinders the utilization of the Internet to its greatest benefit and incur significant economic losses. The traditional approaches in securing systems against threats are designing mechanisms that create a protective shield, almost always with vulnerabilities. This has created Intrusion Detection Systems to be developed that complement traditional approaches. However, with the advancement of computer technology, the behavior of intrusions has become complex that makes the work of security experts hard to analyze and detect intrusions. In order to address these challenges, Artificial Intelligence based techniques have become a promising solution. However, the individual techniques report low detection accuracy and high false positive rate in intrusion detection. The accuracy may be enhanced by using ensemble techniques comprised of multiple techniques. The multiple techniques can be combined in a number of ways to enhance the detection results. 116 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Feb 2014, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Network security is a serious global concern. The increasing prevalence of malware and incidents of attacks hinders the utilization of the Internet to its greatest benefit and incur significant economic losses. The traditional approaches in securing systems against threats are designing mechanisms that create a protective shield, almost always with vulnerabilities. This has created Intrusion Detection Systems to be developed that complement traditional approaches. However, with the advancement of computer technology, the behavior of intrusions has become complex that makes the work of security experts hard to analyze and detect intrusions. In order to address these challenges, Artificial Intelligence based techniques have become a promising solution. However, the individual techniques report low detection accuracy and high false positive rate in intrusion detection. The accuracy may be enhanced by using ensemble techniques comprised of multiple techniques. The multiple techniques can be combined in a number of ways to enhance the detection results. 116 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Feb 2014, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Network security is a serious global concern. The increasing prevalence of malware and incidents of attacks hinders the utilization of the Internet to its greatest benefit and incur significant economic losses. The traditional approaches in securing systems against threats are designing mechanisms that create a protective shield, almost always with vulnerabilities. This has created Intrusion Detection Systems to be developed that complement traditional approaches. However, with the advancement of computer technology, the behavior of intrusions has become complex that makes the work of security experts hard to analyze and detect intrusions. In order to address these challenges, Artificial Intelligence based techniques have become a promising solution. However, the individual techniques report low detection accuracy and high false positive rate in intrusion detection. The accuracy may be enhanced by using ensemble techniques comprised of multiple techniques. The multiple techniques can be combined in a number of ways to enhance the detection results. 116 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh JabarweerJabarweer Singh, M Tech (CSE) research scholar at PIT (PTU Main campus),Kapurthala, India. His general research interests are in the areas of Information Security and Computer Networks.Network security is a serious.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Feb 2014, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 54,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Network security is a serious global concern. The increasing prevalence of malware and incidents of attacks hinders the utilization of the Internet to its greatest benefit and incur significant economic losses. The traditional approaches in securing systems against threats are designing mechanisms that create a protective shield, almost always with vulnerabilities. This has created Intrusion Detection Systems to be developed that complement traditional approaches. However, with the advancement of computer technology, the behavior of intrusions has become complex that makes the work of security experts hard to analyze and detect intrusions. In order to address these challenges, Artificial Intelligence based techniques have become a promising solution. However, the individual techniques report low detection accuracy and high false positive rate in intrusion detection. The accuracy may be enhanced by using ensemble techniques comprised of multiple techniques. The multiple techniques can be combined in a number of ways to enhance the detection results.Books on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3848448696 ISBN 13: 9783848448692
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 54,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Network security is a serious global concern. The increasing prevalence of malware and incidents of attacks hinders the utilization of the Internet to its greatest benefit and incur significant economic losses. The traditional approaches in securing systems against threats are designing mechanisms that create a protective shield, almost always with vulnerabilities. This has created Intrusion Detection Systems to be developed that complement traditional approaches. However, with the advancement of computer technology, the behavior of intrusions has become complex that makes the work of security experts hard to analyze and detect intrusions. In order to address these challenges, Artificial Intelligence based techniques have become a promising solution. However, the individual techniques report low detection accuracy and high false positive rate in intrusion detection. The accuracy may be enhanced by using ensemble techniques comprised of multiple techniques. The multiple techniques can be combined in a number of ways to enhance the detection results.