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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hatahet, S. Challal, Y. Bouabdallah, A. |
| Copyright Year | 2009 |
| Abstract | Peer-to-peer (p2p) networking technology has gained popularity as an efficient mechanism for users to obtain free services without the need for centralized servers. Protecting these networks from intruders and attackers is a real challenge. One of the constant threats on P2P networks is the propagation of active worms. In 2007, Worms have caused damages worth the amount of 8,391,800 USD in the United States alone. Nowadays, BitTorrent is becoming more and more popular, mainly due to its fair load distribution mechanism. Unfortunately, BitTorrent is particularly vulnerable to active worms. In this paper, we propose a novel worm detection system in BitTorrent and evaluate it. We show that our solution can detect various worm scans before 1% of the vulnerable hosts are infected in worst case scenarios. Our solution, the BitTorrent Worm Sensor Network, is built over a network of immunized agents, which their main job is to efficiently stop worm spread in BitTorrent. |
| Starting Page | 293 |
| Ending Page | 300 |
| File Size | 545813 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769535449 |
| ISSN | 10666192 |
| DOI | 10.1109/PDP.2009.61 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-02-18 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Peer to peer computing Internet Network servers Telecommunication traffic Protection Availability Scalability Costs Fault tolerance Ad hoc networks Modeling P2P Security BitTorrent Worms |
| Content Type | Text |
| Resource Type | Article |
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