Title :
Analyze the worm-based attack in large scale P2P networks
Author_Institution :
Comput. Sci. Dept., Texas A & M Univ., College Station, TX, USA
Abstract :
Peer-to-peer (P2P) computing has become an interesting research topic during recent years. In this paper, we address issue related to analyzing the worm-based attack in P2P systems. Particularly, our technologies include: 1) generic mathematical models for attacker/defender and different P2P systems; 2) practical and effective attack prevention schemes. We find that our proposed defense strategy can efficiently improve the performance of worm detection and system recovery.
Keywords :
computer networks; computer viruses; system recovery; telecommunication security; P2P computing; mathematical models; peer-to-peer network; system recovery; worm detection; worm-based attack; Biological system modeling; Computer science; Computer worms; Degradation; Intelligent networks; Internet; Large-scale systems; Mathematical model; Peer to peer computing; System recovery;
Conference_Titel :
High Assurance Systems Engineering, 2004. Proceedings. Eighth IEEE International Symposium on
Print_ISBN :
0-7695-2094-4
DOI :
10.1109/HASE.2004.1281773