Software Abnormal Behavior Detection Based on Function Semantic Tree-Reference-Cited by-同舟云学术

Software Abnormal Behavior Detection Based on Function Semantic Tree

Published:2015 Issue:10 Volume:E98.D Page:1777-1787
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LAI Yingxu¹,ZHANG Wenwen¹,YANG Zhen¹

Affiliation:

1. Beijing University of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E98.D/10/E98.D_2015EDP7098/_pdf

Reference23 articles.

1. [1] Y. Qu, Software behaviouristics, Electronic Industry Publishers, China, 2004.

2. [2] S.A. Hofmeyr, S. Forrest, and A. Somayaji, “Intrusion detection using sequences of system calls,” Journal of Computer Security, vol.6, pp.151-180, 1998.

3. [3] Y. Liao and V.R. Vemuri, “Use of k-nearest neighbour classifier for intrusion detection,” Computers & Security, vol.21, no.5, pp.439-448, 2002.

4. [4] D. Wanger and D. Dean, “Intrusion detection via static analysis,” Proc. IEEE Symposium on Security and Privacy, pp.156-168, 2001.

5. [5] Q. Yin, R. Zhang, X. Li, and H. Wang, “Research on Technology of Intrusion Detection Based on Dynamic Markov Model,” Electronic Sinica, vol.32, no.11, pp.1785-1788, 2004.

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