Masquerade detection based on SVM and sequence-based user commands profile

Proceedings of the 2nd ACM Symposium on Information, Computer and Communications Security, ASIACCS '07

Volumn , Issue , 2007, Pages 398-400

  Seo, Jeongseok ^a   Cha, Sungdeok ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Anomaly detection; Masquerade detection; Support VectorMachine (SVM); User commands profile

Indexed keywords

COMPUTER SYSTEM FIREWALLS; INTRUSION DETECTION; RADIAL BASIS FUNCTION NETWORKS;

ANOMALY DETECTION; FALSE ALARMS; KERNEL METHODS; MASQUERADE DETECTION; USER COMMANDS PROFILE;

SUPPORT VECTOR MACHINES;

EID: 34748865459     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1229285.1229340     Document Type: Conference Paper

References (14)

1. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121-167, 1998.
2. N. Cristianini and J. Sha-we-Taylor. An Introduction to Support Vector Machines. Cambridge University Press, 2000.
3. L. Gordon, M. Loeb, and et al. 2004 CSI/FBI Computer Crime and Security Survey. Computer Security Institute, 2004.
4. W. Hu, Y. Liao, and V. Vemuri. Robust support vector machines for anomaly detection in computer security. 2003 Intl. Conf. on Machine Learning and Applications, June 2003.
5. D. Kim, H. Nguyen, and J. Park. Genetic algorithm to improve svm based network intrusion detection system. Intl. Conf. on Advanced Information Networking and Applications, March 2005.
6. H. Kim and S. Cha. Efficient masquerade detection using svm based on common command frequency in sliding windows. IEICE Transactions on Information and Systems, E87-D(11), November 2004.
7. H. Kim and S. Cha. Empirical evaluation of svm-based masquerade detection using Unix commands. Computers and Security, 24(2):160-168, March 2005.
8. H. Lodhi, C. Sanunders, and et al. Text classification using string kernels. Journal of Machine Learning Research, 2:419-444, 2002.
9. R. Maxion and T. Townsend. Masquerade detection using truncated command lines. Intl. Conf. on Dependable Systems and Networks, June 2002.
10. S. Mukkamala and A. Sung. Feature ranking and selection for intrusion detection systems using support vector machines. Intl. Conf. on Information and Knowledge Engineering, pages 503-509, 2002.
11. M. Schonlau, W. DuMouchel, and et al. Computer intrusion: Detecting masqueraders. Statistical Science, 16(1):58-74, February 2001.
12. B. Szymanski and Y. Zhang. Recursive data mining for masquerade detection and author identification. IEEE Information Assurance Workshop, June 2004.
13. K. Wang and S. Stolfo. One-class training for masquerade detection. 3rd IEEE Conference Data Mining Workshop on Data Mining for Computer Security, November 2003.
14. W. Webster, C. Alexander, and et al. A review of FBI security program. US Dept. of Justice, March 2002.