Name
Abstract | ||
|---|---|---|
P2P worm exploits common vulnerabilities and spreads through peer-to-peer networks. Despite being recognized as a potential
and deadly threat to the Internet recently, few relevant countermeasures are found in extant literature. Once it breaks out,
a P2P worm could result in unpredictable losses. Based on propagation characteristics of the worm, this paper presents a detection
method called PWD (P2P Worm Detection), which is designed based on application identification and unknown worm detection.
Simulation result and LAN-environment experiment result both indicate that PWD is an effective method to detect and block
P2P worms. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/s11704-007-0010-7 | Frontiers of Computer Science in China |
Keywords | Field | DocType |
P2P worm,worm detection,application identification | Computer science,Effective method,Computer security,Exploit,Artificial intelligence,Extant taxon,Machine learning,The Internet | Journal |
Volume | Issue | ISSN |
1 | 1 | 16737466 |
Citations | PageRank | References |
1 | 0.37 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunhe Xia | 1 | 63 | 18.30 |
| Yunping Shi | 2 | 1 | 0.37 |
| Xiaojian Li | 3 | 1 | 0.37 |
| W. Gao | 4 | 193 | 33.48 |