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

Volume

7

fYear

2008

fDate

12-15 July 2008

Firstpage

3635

Lastpage

3640

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2008.4621036

Filename

4621036