Synopsis
The proposed approach employs data mining and forensic techniques to identify the representative SC-patterns for a user. The time that a habitual SC pattern appears in the user’s log file is counted, the most commonly used SC-patterns are filtered out, and then a user’s profile is established. By identifying a user’s SC-patterns as his/her computer usage habits from the user’s current input SCs, the PSAIA resists suspected attackers. The experimental results demonstrate that the average detection accuracy is higher than 94% when the decisive rate threshold is 0.9, indicating that the PSAIA can assist system administrators to point out an insider or an attacker in a closed environment. The further study will be done by improving PSAIA’s performance and investigating third-party shell commands.
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
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LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206686280
ISBN 13 : 9786206686286
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
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LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206686280
ISBN 13 : 9786206686286
Neuf
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Edité par
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10 : 6206686280
ISBN 13 : 9786206686286
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The proposed approach employs data mining and forensic techniques to identify the representative SC-patterns for a user. The time that a habitual SC pattern appears in the user's log file is counted, the most commonly used SC-patterns are filtered out, and then a user's profile is established. By identifying a user's SC-patterns as his/her computer usage habits from the user's current input SCs, the PSAIA resists suspected attackers. The experimental results demonstrate that the average detection accuracy is higher than 94% when the decisive rate threshold is 0.9, indicating that the PSAIA can assist system administrators to point out an insider or an attacker in a closed environment. The further study will be done by improving PSAIA's performance and investigating third-party shell commands. 68 pp. Englisch. N° de réf. du vendeur 9786206686286
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
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LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206686280
ISBN 13 : 9786206686286
Neuf
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
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LAP Lambert Academic Publishing, 2023
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The proposed approach employs data mining and forensic techniques to identify the representative SC-patterns for a user. The time that a habitual SC pattern appears in the user s log file is counted, the most commonly used SC-patterns are filtered out, and . N° de réf. du vendeur 982870163
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Edité par
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10 : 6206686280
ISBN 13 : 9786206686286
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -The proposed approach employs data mining and forensic techniques to identify the representative SC-patterns for a user. The time that a habitual SC pattern appears in the user¿s log ¿le is counted, the most commonly used SC-patterns are ¿ltered out, and then a user¿s pröle is established. By identifying a user¿s SC-patterns as his/her computer usage habits from the user¿s current input SCs, the PSAIA resists suspected attackers. The experimental results demonstrate that the average detection accuracy is higher than 94% when the decisive rate threshold is 0.9, indicating that the PSAIA can assist system administrators to point out an insider or an attacker in a closed environment. The further study will be done by improving PSAIA¿s performance and investigating third-party shell commands.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. N° de réf. du vendeur 9786206686286
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206686280
ISBN 13 : 9786206686286
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The proposed approach employs data mining and forensic techniques to identify the representative SC-patterns for a user. The time that a habitual SC pattern appears in the user's log file is counted, the most commonly used SC-patterns are filtered out, and then a user's profile is established. By identifying a user's SC-patterns as his/her computer usage habits from the user's current input SCs, the PSAIA resists suspected attackers. The experimental results demonstrate that the average detection accuracy is higher than 94% when the decisive rate threshold is 0.9, indicating that the PSAIA can assist system administrators to point out an insider or an attacker in a closed environment. The further study will be done by improving PSAIA's performance and investigating third-party shell commands. N° de réf. du vendeur 9786206686286
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206686280
ISBN 13 : 9786206686286
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. PROVIDING SECURITY AGAINST INSIDER ATTACKS | Divya Raj Vavilala | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206686286 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 127329327
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