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
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206686280
ISBN 13: 9786206686286
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206686280
ISBN 13: 9786206686286
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 395336590
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Published by
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 6206686280
ISBN 13: 9786206686286
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: 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. Seller Inventory # 9786206686286
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206686280
ISBN 13: 9786206686286
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Condition: New. PRINT ON DEMAND. Seller Inventory # 18401073243
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Published by
LAP Lambert Academic Publishing, 2023
ISBN 10: 6206686280
ISBN 13: 9786206686286
New
Softcover
Seller: moluna, Greven, Germany
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Condition: 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 . Seller Inventory # 982870163
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Published by
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 6206686280
ISBN 13: 9786206686286
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786206686286
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206686280
ISBN 13: 9786206686286
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9786206686286
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PROVIDING SECURITY AGAINST INSIDER ATTACKS
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206686280
ISBN 13: 9786206686286
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 127329327