PROVIDING SECURITY AGAINST INSIDER ATTACKS

ISBN-13: 9786206686286 / Angielski / Miękka / 68 str.

Divya Raj Vavilala

Opis

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.

O autorze

Divya Raj Vavilala, Assistant Professor in GNITS, Hyderabad. She completed B.Tech in 2006 and M.Tech in 2012 in JNTUH. Her areas of interest are Computer Networks, Security, Artificial Intelligence, Machine Learning.