Title :
Dynamic Probabilistic Packet Marking Based on PPM
Author :
Feng Bo ; Fan, Guo ; Min, Yu
Author_Institution :
Coll. of Comput. Inf. Eng., Jiang Xi Normal Univ., Nan Chang, China
Abstract :
Most of the probability of packet marking (PPM) have existed many problems such as the lost of marking information, the difficulties to reconstruct attack path, low accuracy and so on. In this work, we present a new approach, called dynamic probabilistic packet marking (DPPM), to further improve the effectiveness of PPM. Instead of using a fixed marking probability, we propose to judge whether the packet has been marked or not then choose a proper marking probability. DPPM may solve most of the problems in PPM method. Formal analysis indicates that DPPM outperforms PPM in most aspects.
Keywords :
IP networks; authorisation; probability; DPPM; IP traceback; distributed denial of service attack; dynamic probabilistic packet marking; formal analysis; Communication networks; Communications technology; Computer crime; Computer networks; Computer security; Educational institutions; Information security; Microcomputers; Protection; Technology management; Distributed Denial of Service Attack; IP traceback; Network Security; Probabilistic Packet Marking;
Conference_Titel :
Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3646-0
DOI :
10.1109/WMWA.2009.44