A mechanism for detection and prevention of distributed denial of service attacks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4308 LNCS, Issue , 2006, Pages 139-144

  Sen, Jaydip ^a   Chowdhury, Piyali Roy ^b   Sengupta, Indranil ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b FUTURE INSTITUTE OF ENGINEERING AND MANAGEMENT   (India)

Author keywords

Buffer overflow; DDoS; Security; Traffic level measurement

Indexed keywords

BUFFER OVERFLOWS; CRITICAL SERVICE; DDOS; DISTRIBUTED DENIAL OF SERVICE ATTACK; INCOMING TRAFFIC; LEGITIMATE USERS; SECURITY; TRAFFIC LEVELS;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE;

NETWORK SECURITY;

EID: 84885237757     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11947950_16     Document Type: Conference Paper

References (5)

1. Ferguson, P. and Senie, D. Network Ingress Filtering: Defending Denial Of Service Attacks which Employ IP Source Address Spoofing. RFC 2827, May 2000.
2. Burch, H. and Cheswick, B. Tracing Anonymous Packets to Their Approximate Source. In Proceedings of the 14th Systems Administration Conference. Usenix LISA, December 2000, pp. 319-327.
3. Park, K. and Lee, H. On the Effectiveness of Probabilistic Packet Marking for IP Traceback Under Denial Of Service Attack. In Proceedings of IEEE-INFOCOM'01, Anchorage, Alaska, 2001, pp. 338-347.
4. Gil, T.M. MULTOPS: A Data-Structure for Bandwidth Attack Detection. M.S. Thesis, Virije Universiteit, Amsterdam, Netherlands, August 2000.
5. Bencsáth, B. Buttyan and L. Vajda, I. A Game Based Analysis of the Client Puzzle Approach to Defend Against DoS Attacks. In Proceedings of SoftCOM 2003, 11th International Conference on Software, Telecommunications and Computer Networks, pp. 763-767, University of Split, 2003.