Intrusion detection techniques for mobile wireless networks

Wireless Networks

Volumn 9, Issue 5, 2003, Pages 545-556

  Zhang, Yongguang ^a   Lee, Wenke ^b   Huang, Yi An ^b  

^a Hughes Aircraft Co   (United States)

^b Georgia Institute of Technology   (United States)

Author keywords

Anomaly detection; Cooperative detection; Intrusion detection; Intrusion response; Mobile ad hoc networks

Indexed keywords

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; COMPUTER SYSTEM FIREWALLS; CRYPTOGRAPHY; DATA COMMUNICATION SYSTEMS; MOBILE COMPUTING; NETWORK PROTOCOLS; SECURITY OF DATA; SERVERS;

COOPERATIVE DETECTION; INTRUSION DETECTION; INTRUSION RESPONSE; MOBILE WIRELESS NETWORKS;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 0041473688     PISSN: 10220038     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1024600519144     Document Type: Article

References (27)

1. J. Binkley, Authenticated ad hoc routing at the link layer for mobile systems, Technical Report 96-3, Portalnd State University, Computer Science (1996).
2. A. Boukerche and M.S.M.A. Notare, Neural fraud detection in mobile phone operations, in: Proceedings of the IPDPS 2000 Workshop, Cancun, Mexico, May 1-5 (2000) pp. 636-644.
3. J. Broch, D. Johnson and D. Maltz, The dynamic source routing protocol for mobile adhocnetworks, Internet Draft, draft-ietf-manet-dsr-01.txt (December 1998).
4. W.W. Cohen, Fast effective rule induction, in: Proceedings of the 12th International Conference on Machine Learning (Morgan Kaufmann, San Mateo, CA, 1995) pp. 115-123.
5. T.M. Cover and J.A. Thomas, Elements of Information Theory (Wiley, New York, 1991).
6. K. Fall and E. Varadhan, The ns Manual 2000 (formerly ns Notes and Documentation).
7. S. Forrest, S.A. Hofmeyr, A. Somayaji and T.A. Longstaff, A sense of self for Unix processes, in: Proceedings of the 1996 IEEE Symposium on Security and Privacy, Los Alamitos, CA (IEEE Computer Society Press, New York, 1996) pp. 120-128.
8. R. Heady, G. Luger, A. Maccabe and M. Servilla, The architecture of a network level intrusion detection system, Technical Report, Computer Science Department, University of New Mexico (August 1990).
9. K. Ilgun, R.A. Kemmerer and P.A. Porras, State transition analysis: A rule-based intrusion detection approach, IEEE Transactions on Software Engineering 21 (3) (1995) 181-199.
10. S. Jacobs and M.S. Corson, MANET authentication architecture, Internet Draft, draft-jacobs-imep-auth-arch-01.txt (February 1999) expired at 2000.
11. S. Jacobs, S. Glass, T. Hiller and C. Perkins, Mobile IP authentication, authorization, and accounting requirements, Request for Comments 2977, Internet Engineering Task Force (October 2000).
12. T. Joachims, Making Large-Scale SVM Learning Practical (MIT Press, Cambridge, MA, 1999) chapter 11.
13. D. Johnson, Routing in ad hoc networks of mobile hosts, in: Workshop on Mobile Computing Systems and Applications, Santa Cruz, CA (1994).
14. D.B. Johnson and D.A. Maltz, Dynamic source routing in ad hoc wireless networks, in: Mobile Computing, eds. T. Imielinski and H. Korth (Kluwer Academic, Dordrecht, 1996) pp. 153-181.
15. Y.-B. Ko and N.H. Vaidya, Location-aided routing (LAR) in mobile ad hoc networks, ACM/Baltzer Wireless Networks (WINET) 6(4) (2000), extended version of the MobiCom'98 paper.
16. S. Kumar and E.H. Spafford, A software architecture to support misuse intrusion detection, in: Proceedings of the 18th National Information Security Conference (1995) pp. 194-204.
17. W. Lee and S.J. Stolfo, Data mining approaches for intrusion detection, in: Proceedings of the 7th USENIX Security Symposium, San Antonio, TX (January 1998).
18. W. Lee, S.J. Stolfo and K.W. Mok, A data mining framework for building intrusion detection models, in: Proceedings of the 1999 IEEE Symposium on Security and Privacy (May 1999).
19. T. Lunt, A. Tamaru, F. Gilham, R. Jagannathan, P. Neumann, H. Javitz, A. Valdes and T. Garvey, A real-time intrusion detection expert system (IDES) - final technical report, Technical Report, Computer Science Laboratory, SRI International, Menlo Park, CA (February 1992).
20. D.A. Maltz, J. Broch, J. Jetcheva and D.B. Johnson, The effects of on-demand behavior in routing protocols for multi-hop wireless ad hoc networks, IEEE Journal on Selected Areas in Communications 17(8) (1999) 1439-1453.
21. T. Mitchell, Machine Learning (McGraw-Hill, New York, 1997).
22. C. Perkins and P. Bhagwat, Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers, in: ACM SIGCOMM'94 Conference on Communications Architectures, Protocols and Applications (1994) pp. 234-244.
23. C. Perkins and E. Royer, Ad-hoc on-demand distance vector routing, in: Proceedings of the 2nd IEEE Workshop on Mobile Computing Systems and Applications (February 1999) pp. 90-100.
24. M. Satyanarayanan, J.J. Kistler, L.B. Mummert, M.R. Ebling, P. Kumar and Q. Lu, Experiences with disconnected operation in a mobile environment, in: Proceedings of USENIX Symposium on Mobile and Location Independent Computing, Cambridge, MA (August 1993) pp. 11-28.
25. B.R. Smith, S. Murthy and J.J. Garcia-Luna-Aceves, Securing distance-vector routing protocols, in: Proceedings of Internet Society Symposium on Network and Distributed System Security, San Diego, CA (February 1997) pp. 85-92.
26. L. Venkatraman, Secured routing protocol for ad-hoc networks, Master's Thesis, University of Cincinnati, OH (March 2000).
27. L. Zhou and Z.J. Haas, Securing ad hoc networks, IEEE Network 13(6) (1999) 24-30.