A Network security helps to prevent the network against the intruders from performing malicious activities. The security can be provided to the networks using firewalls, anti-virus software and scanners, cryptographic systems,Secure Socket Layer (SSL) and Intrusion Detection Systems (IDS).Authentication is the commonly used technique to protect the unauthorized users from the network. But, it is easy to compromise the login passwords using brute force attacks. The IDS and firewalls concentrate on the external attacks, while the internal attacks are not taken into account. In order to solve these issues, this paper proposes an Inner Interruption Discovery and Defense System(IIDDS) at the System Call (SC) level using data mining and forensic techniques. The user’s profiles are maintained and compared with the actual dataset using Hellinger distance. A hash function is applied on the incoming messages and they are summarized in the sketch dataset. The experimental results evaluate the proposed system in terms of accuracy and response time.
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Singaravelan Shanmugasundaram received the PhD, M.E & B.E in CSE ,CSE & ECE from Manonmaniam Sundaranar University, Tirunelveli,in theyear of 2016 , 2007 & 2004. Currently he is a Associate Professor inComputer Science and Engineering Department of P.S.R.EngineeringCollege, Sivakasi, India. Area of Interest is DIP, Data mining, CBIR.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A Network security helps to prevent the network against the intruders from performing malicious activities. The security can be provided to the networks using firewalls, anti-virus software and scanners, cryptographic systems,Secure Socket Layer (SSL) and Intrusion Detection Systems (IDS).Authentication is the commonly used technique to protect the unauthorized users from the network. But, it is easy to compromise the login passwords using brute force attacks. The IDS and firewalls concentrate on the external attacks, while the internal attacks are not taken into account. In order to solve these issues, this paper proposes an Inner Interruption Discovery and Defense System(IIDDS) at the System Call (SC) level using data mining and forensic techniques. The user's profiles are maintained and compared with the actual dataset using Hellinger distance. A hash function is applied on the incoming messages and they are summarized in the sketch dataset. The experimental results evaluate the proposed system in terms of accuracy and response time. 68 pp. Englisch. Codice articolo 9783330049598
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shanmugasundaram SingaravelanSingaravelan Shanmugasundaram received the PhD, M.E & B.E in CSE ,CSE & ECE from Manonmaniam Sundaranar University, Tirunelveli,in theyear of 2016 , 2007 & 2004. Currently he is a Associate Professor inCo. Codice articolo 151234600
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A Network security helps to prevent the network against the intruders from performing malicious activities. The security can be provided to the networks using firewalls, anti-virus software and scanners, cryptographic systems,Secure Socket Layer (SSL) and Intrusion Detection Systems (IDS).Authentication is the commonly used technique to protect the unauthorized users from the network. But, it is easy to compromise the login passwords using brute force attacks. The IDS and firewalls concentrate on the external attacks, while the internal attacks are not taken into account. In order to solve these issues, this paper proposes an Inner Interruption Discovery and Defense System(IIDDS) at the System Call (SC) level using data mining and forensic techniques. The user's profiles are maintained and compared with the actual dataset using Hellinger distance. A hash function is applied on the incoming messages and they are summarized in the sketch dataset. The experimental results evaluate the proposed system in terms of accuracy and response time. Codice articolo 9783330049598
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Codice articolo __3330049596
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A Network security helps to prevent the network against the intruders from performing malicious activities. The security can be provided to the networks using firewalls, anti-virus software and scanners, cryptographic systems,Secure Socket Layer (SSL) and Intrusion Detection Systems (IDS).Authentication is the commonly used technique to protect the unauthorized users from the network. But, it is easy to compromise the login passwords using brute force attacks. The IDS and firewalls concentrate on the external attacks, while the internal attacks are not taken into account. In order to solve these issues, this paper proposes an Inner Interruption Discovery and Defense System(IIDDS) at the System Call (SC) level using data mining and forensic techniques. The user's profiles are maintained and compared with the actual dataset using Hellinger distance. A hash function is applied on the incoming messages and they are summarized in the sketch dataset. The experimental results evaluate the proposed system in terms of accuracy and response time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Codice articolo 9783330049598
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. A Inner Interruption Discovery and Defense System by using Data Mining | Singaravelan Shanmugasundaram (u. a.) | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330049598 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 109068321
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