NetFlow based intrusion detection system

Proceedings - 2008 International Conference on MultiMedia and Information Technology, MMIT 2008

Volumn , Issue , 2008, Pages 825-828

  Zhenqi, Wang ^a   Xinyu, Wang ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Abnormal detection; IP flow; NetFlow; Network security; NIDS

Indexed keywords

ABNORMAL DETECTION; COMPLEX METHODS; CURRENT SIGNATURES; FALSE ALARMS; FOCAL POINTS; GLOBAL NETWORKS; HIGH RATE; INTRUSION DETECTION SYSTEMS; IP FLOW; NETFLOW; NETFLOW DATA; NETFLOWS; NETWORK ADMINISTRATOR; NETWORK ATTACK; NETWORK SECURITY PROBLEMS; NIDS; TRAFFIC ANALYSIS;

COMPUTER CRIME; INFORMATION TECHNOLOGY; INTERNET PROTOCOLS; INTRUSION DETECTION; MULTIMEDIA SYSTEMS; NETWORK SECURITY; PLANNING; RECORDS MANAGEMENT;

NETWORK MANAGEMENT;

EID: 70349595517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMIT.2008.213     Document Type: Conference Paper

References (15)

1. Tsang-Long pao, Po-WeiWang, NetFlow Based Instrusion Detection System, Proceeding of the 2004 IEEE International Conference onNet-working, sensing and control Taipe, i Taiwan, March 21-23, 2004.
2. YimingGong, Deteting Wormsand Abormal Activitie swith NetFlow. http://www.securityfocus.com/infocus/1796, 2004-08-16.
3. Estan C, Savage S, Varghese G. Automatically Inferring Patterns of Resource Consumption in Network Traffic [C]. In Proceeding of SIGCOMM, 2003.
4. Cisco. NetFlow Services and Applications. White Paper, 1999.
5. P Barford, D Plonka. Characteristics of Net work Traffic Flow nomalies. In Proceedings of ACM SIGCOMM Internet Measurement Workshop, San Francisco, CA, 2000.
6. D. E. Denning. An Intrusion Detection Mode.1 IEEE Transactions on Software Engineering, February 1987.
7. Matt Ze Vadim Gorbach. InternetTraffic Measurement[J]. CS 590F Survey Project, 2000 (4).
8. AMOROSO E G. Intrusion Detection: An Introduction to Internet Surveillance, Correlation, Traps, Trace Back, and Response[EB/OL].http://www. intrusion.net/resources/books.asp, 1999.
9. Susan C L, David V H. Training a Neural-Network Based Intrusion Detector [J]. IEEE Transactions on systems, man and sybermetics - part a: System and Humans, 2001; 31(4):294-299
10. Balajinath B, Raghavan S V. Intrusion detection through learning behavior model[J]. Computer Communications, 2001; 24(12):1202-1212. (Pubitemid 32610612)
11. Steven A H. An Immunological Model of Distributed Detection and Its Application to Computer Security [D]. PhD thesis. New Mexico: The University of New Mexico, 1999
12. Chen S. Common Intrusion Detection Framework [EB/OL]. http://seclab.cs.ucdavis.edu/cidf, 2000-10-08
13. BASS T. Intrusion detection systems and mulit sensor data fusion creating cyberspace situational awareness[J]. Communications of the ACM, 2000, 43(4):99-105
14. RFC3176, A method of monitoring trafic in switched and muted newtorks[S]
15. Matt Zekauskas. Measurement Pmjeets Overview[J]. Measurements WG Meeting, San Diego, CA, 1998 (20).