Title :
Propagation modeling and analysis of viruses in P2P networks
Author :
Feng, Chao-Sheng ; Qin, Zhi-guang ; Cuthbet, Laurence ; Tokarchuk, Laurissa
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
To counter the attacks of virus in P2P file-sharing networks, the model of virus propagation in P2P networks is proposed based on deep analysis on the features of file sharing and virus propagation. In order to examine the effects of different parameters in this model, large scale simulating experiments are carried out. The numerical analysis on the impact of P2P-related factors such as number of initially infected peers, downloading rate, recovery rate, etc, shows that attack performance of viruses is very sensitive to P2P system parameters.
Keywords :
computer viruses; numerical analysis; peer-to-peer computing; P2P networks; deep analysis; downloading rate; file-sharing networks; recovery rate; virus propagation; Computer science; Computer viruses; Cybernetics; Electronic mail; Large-scale systems; Machine learning; Mathematical model; Numerical analysis; Peer to peer computing; Viruses (medical); File-sharing; P2P networks; Propagation modeling; Simulation; Viruses;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4621036
