Malware detection based on suspicious behavior identification

Proceedings of the 1st International Workshop on Education Technology and Computer Science, ETCS 2009

Volumn 2, Issue , 2009, Pages 198-202

  Wang, Cheng ^a   Pang, Jianmin ^a   Zhao, Rongcai ^a   Fu, Wen ^a   Liu, Xiaoxian ^a  

^a NATIONAL DIGITAL SWITCHING SYSTEM ENGINEERING AND TECHNOLOGICAL RESEARCH CENTER   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL FLOW ANALYSIS; EXECUTABLES; FUNCTION CALLS; MALICIOUS CODES; MALWARE DETECTION;

COMPUTER CRIME; COMPUTER SCIENCE;

EDUCATION COMPUTING;

EID: 67650701354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ETCS.2009.306     Document Type: Conference Paper

References (7)

1. M. Christodorescu and S. Jha. Static Analysis of Executables to Detect Malicious Patterns. In: Proceedings of the 12th USENIX Security Symposium, USENIX Association, BerKeley, CA, USA, 2003, 169-186.
2. M. G. Schultz, E. Eskin, E. Zadok. Data Mining Methods for Detection of New Malicious Executables. In: Proceedings of the 2001 IEEE Symposium on Security and Privacy. Washington: IEEE Computer Society, 2001, 38-49.
3. B. Zhang, J. Yin, J. Hao, D. Zhang, and S.Wang. Using support vector machine to detect unknown computer viruses. International Journal of Computational Intelligence Research, 2(1):100-104, 2006.
4. Cristina Cifuentes and Antoine Fraboulet. Intraprocedural static slicing of binary executables. In Proceedings of the International Conference on Software Maintenance, Bari, Italy, October 1997, pages188-195, IEEE-CS Press.
5. S. S. Muchnick. Advanced Compiler Design Implementation. Morgan Kaufman Publishers, San Francisco, CA, 1997.
6. J. Bergeron, et al. Static Detection of Malicious Code in Executable Programs, in Symposium on Requirements Engineering for Information Security (SREIS'01), 2001.
7. VX.heavens. http://vx.netlux.org.