Feature representation and selection in malicious code detection methods based on static system calls

Author:

Yuxin Ding,Xuebing Yuan,Di Zhou,Li Dong,Zhanchao An

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference26 articles.

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2. Abou-Assaleh T, Keselj V, Sweid R. N-gram-based detection of new malicious code. In: 28th annual international computer software and applications conference, Hong Kong; Sept. 2004b. p. 41–46.

3. Bergeron J, Debbabi M, Desharnais J, Erhioui MM, Lavoie Y, Tawbi N. Static detection of malicious code in executable programs. In: Symposium on requirements engineering for information security (SREIS’01), Indianapolis, Indiana, USA; March 2001. p. 157–166.

4. Cha BR, Vaidya B, Han S. Anomaly intrusion detection for system call using the Soundex algorithm and neural networks. In: 10th IEEE symposium on computer and communications, Cartagena, Murcia, Spain; June 2005. p. 427–433.

5. Dash SK, Reddy KS, Pujari AK. Episode based Masquerade detection. In: Proceedings of 1st International conference on information systems security, Kolkata, India; December 2005. p. 251–262.

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