Sinossi
Covert Channels are malicious conversations in a legitimate secured network communication that violates the security policies of a legitimate network. Covertness in a covert channel is due to the non-transparency in the communication between the users of the communication channel whose motto is to leak information. A Hybrid Covert Channel (HCC) is the co-existence of two or more variants of network covert channels which tends to behave as a single coherent covert channel. Covert channel or HCC detection is very difficult to perform as all detection methods is at infancy. The current market value for the field of network security is around 15.55 billion dollars and is said to become 20 billion dollars by the end of 2020. The detection engine must employ a combination of protocol detection scheme and signature detection scheme along with bandwidth analysis through entropy mechanism. There are vast research opportunities in the network security and forensics that covers wide aspects of the detection, attack modelling, channel analysis and behavioral analysis with inclusive focus on the development in IP based network.
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Characterization and Behavioral Analysis of Hybrid Covert Channel
Editore:
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6202004185
ISBN 13: 9786202004183
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Covert Channels are malicious conversations in a legitimate secured network communication that violates the security policies of a legitimate network. Covertness in a covert channel is due to the non-transparency in the communication between the users of the communication channel whose motto is to leak information. A Hybrid Covert Channel (HCC) is the co-existence of two or more variants of network covert channels which tends to behave as a single coherent covert channel. Covert channel or HCC detection is very difficult to perform as all detection methods is at infancy. The current market value for the field of network security is around 15.55 billion dollars and is said to become 20 billion dollars by the end of 2020. The detection engine must employ a combination of protocol detection scheme and signature detection scheme along with bandwidth analysis through entropy mechanism. There are vast research opportunities in the network security and forensics that covers wide aspects of the detection, attack modelling, channel analysis and behavioral analysis with inclusive focus on the development in IP based network. 132 pp. Englisch. Codice articolo 9786202004183
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Characterization and Behavioral Analysis of Hybrid Covert Channel
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202004185
ISBN 13: 9786202004183
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Krishnamurthy Dr. AnjanDr. Anjan Krishnamurthy has received his B.E, M.Tech and Ph.D degree from from Visveswariah Technological University (VTU), Belgaum, India. He has been awarded Best Performer PG 2010 and Best Doctoral Thesis A. Codice articolo 385901384
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Characterization and Behavioral Analysis of Hybrid Covert Channel
Editore:
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6202004185
ISBN 13: 9786202004183
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Covert Channels are malicious conversations in a legitimate secured network communication that violates the security policies of a legitimate network. Covertness in a covert channel is due to the non-transparency in the communication between the users of the communication channel whose motto is to leak information. A Hybrid Covert Channel (HCC) is the co-existence of two or more variants of network covert channels which tends to behave as a single coherent covert channel. Covert channel or HCC detection is very difficult to perform as all detection methods is at infancy. The current market value for the field of network security is around 15.55 billion dollars and is said to become 20 billion dollars by the end of 2020. The detection engine must employ a combination of protocol detection scheme and signature detection scheme along with bandwidth analysis through entropy mechanism. There are vast research opportunities in the network security and forensics that covers wide aspects of the detection, attack modelling, channel analysis and behavioral analysis with inclusive focus on the development in IP based network.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch. Codice articolo 9786202004183
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Characterization and Behavioral Analysis of Hybrid Covert Channel
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6202004185
ISBN 13: 9786202004183
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Covert Channels are malicious conversations in a legitimate secured network communication that violates the security policies of a legitimate network. Covertness in a covert channel is due to the non-transparency in the communication between the users of the communication channel whose motto is to leak information. A Hybrid Covert Channel (HCC) is the co-existence of two or more variants of network covert channels which tends to behave as a single coherent covert channel. Covert channel or HCC detection is very difficult to perform as all detection methods is at infancy. The current market value for the field of network security is around 15.55 billion dollars and is said to become 20 billion dollars by the end of 2020. The detection engine must employ a combination of protocol detection scheme and signature detection scheme along with bandwidth analysis through entropy mechanism. There are vast research opportunities in the network security and forensics that covers wide aspects of the detection, attack modelling, channel analysis and behavioral analysis with inclusive focus on the development in IP based network. Codice articolo 9786202004183
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