A multi-order markov chain based scheme for anomaly detection

Proceedings - International Computer Software and Applications Conference

Volumn , Issue , 2013, Pages 83-88

  Sha, Wenyao ^a   Zhu, Yongxin ^a   Huang, Tian ^a   Qiu, Meikang ^b   Zhu, Yan ^a   Zhang, Qiannan ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b UNIVERSITY OF KENTUCKY   (United States)

Author keywords

anomaly detection; Kth order Markov chain; Markov chain; multivariate time series

Indexed keywords

ABNORMAL BEHAVIOURS; ABSOLUTE VALUES; ANOMALY DETECTION; CALCULATION RESULTS; DEFENSE ADVANCED RESEARCH PROJECTS AGENCIES; KTH-ORDER MARKOV CHAIN; MULTIVARIATE TIME SERIES; TRAINING AND TESTING;

INTRUSION DETECTION; TIME SERIES;

MARKOV PROCESSES;

EID: 84885669666     PISSN: 07303157     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMPSACW.2013.12     Document Type: Conference Paper

References (15)

1. Denning, D.E., An intrusion-detection model, IEEE Transactions on Software Engineering. pp. 222-232, Feb. 1987
2. Yihua Liao, V.Rao Vemuri, Use of K-nearest Neighbor Classifier for Intrusion Detection, Computers & Security. 21(5): 439-448, 2002
3. S. Saravanakumar, Amruth Kumar.A, Anandaraj.s, s.Gowtham, Algorithms Based on Artificial Neural Networks for Intrusion Detection in Heavy Traffic Computer Networks, Proc. of Intl Conf. on Advancements in Information Technology, pp.6-23, 2011
4. C.V. Raman, Atul Negi, A Hybrid Method to Intrusion Detection Systems Using HMM, Distributed Computing and Internet Technology. pp. 389-396, 2005
5. Nong Ye, A Markov Chain Model of Temporal Behavior for Anomaly Detection, Workshop on Information Assurance and Security. West Point, NY, June 2000.
6. Nong Ye, Xiangyang Li, Qiang Chen, Syed Masum Emran, Mingming Xu, Probabilistic Techniques for Intrusion Detection Based on Computer Audit Data, IEEE Transactions on Systems, Man, and Cybernetics ?Part A: Systems and Humans. 31(4):266-274, July 2001
7. Nong Ye, Yebin Zhang, Connie M. Borror, Robustness of the Markov-Chain Model for Cyber-Attack Detection, IEEE Transactions on Realiability. 53(1):116-123, March 2004
8. Robert Gwadera, Mikhail Atallah, Markov Models for Identification of Significant Episodes, Proceedings of the 5th International Conference on Data Mining. 2005
9. Wen-Hua Ju, Yehuda Vardi, A Hybrid High-Order Markov Chain Model for Computer Intrusion Detection, Journal of Computational and Graphical Statistics. 10(2): 277-295, 2001
10. Chuanhuan Yin, Shengfeng Tian, Shaomin Mua, High-order Markov kernels for intrusion detection, Neurocomputing. 71(16-18):3247-3252, 2008
11. Markus Stowasser, Modelling Rain Risk: A Multi-order Markov Chain Model Approach, The Journal of Risk Finance, 13(1):45-60, 2011
12. Stephanie Forrest, Steven A, Hofmeyr, Anil Somayaji, Thomas A, Longstaff, A Sense of Self for Unix Processes, Proceedings of IEEE Symposium on Security and Privacy, pp. 120-128, 1996
13. Gaurav Tandon, Philip Chan, Learning Rules from System Call Arguments and Sequences for Anomaly Detection, Workshop on Data Mining for Computer Security. IEEE International Conference on Data Mining, pp. 20-29, Nov. 19-22, 2003
14. Wei Wang, Xiaohong Guan, Xiangliang Zhang, Liwei Yang, Profiling program behavior for anomaly intrusion detection based on the transition and frequency property of computer audit data, Computers & Security. 25(7): 539-550, 2006
15. Richard P, Lippmann, David J, Fried, Isaac Graf, et al, Evaluating Intrusion Detection Systems: The 1998 DARPA Off-line Intrusion Detection Evaluation, Proceedings of the DARPA Information Survivability Conference and Exposition (DISCEX), Vol. 2, pp. 12-26, 2000