Title :
Modeling Passive Worm Propagation in Peer-to-Peer System
Author :
Ma, Jie ; Chen, Xinmeng ; Xiang, Guangli
Author_Institution :
Comput. Coll., Wuhan Univ.
Abstract :
In recent years, active worm propagation patterns have been researched deeply. However, passive worm propagation has not been inspected in detail. Passive worms propagate slowly in Internet, but P2P system can be a potential vehicle to fast the propagation of passive worm. In this paper, we address the issue by analyzing the passive worm propagation model in P2P systems. We define passive worm propagation model and use numerical analysis approach to analyze the impact of P2P-related factors such as number of P2P system vulnerability, P2P system changing rate, P2P system security parameters and average connections of P2P hosts and give numerical results. From numerical results, we observe that attack performance of passive worm is very sensitive to P2P system parameters
Keywords :
invasive software; peer-to-peer computing; P2P system; active worm propagation patterns; passive worm propagation modeling; peer-to-peer system; Cleaning; Computer worms; Educational institutions; Humans; Internet; Numerical analysis; Numerical models; Peer to peer computing; Security; Vehicles;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.295439