Intrusion Detection Using Artificial by Singh Jabarweer (16 results)

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Paperback. Condition: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.

Taschenbuch. Condition: 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.

Taschenbuch. Condition: 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.

Taschenbuch. Condition: 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.

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Taschenbuch. Condition: 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.

Taschenbuch. Condition: 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.

Condition: 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.

Taschenbuch. Condition: 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.

Taschenbuch. Condition: 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.