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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lawniczak, A.T. Di Stefano, B.N. Hao Wu |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. Mathematics & Statistics of the University of Guelph, in Guelph, Ontario, Canada (Lawniczak, A.T.) || Nuptek Systems Ltd. in Toronto, Ontario, Canada (Di Stefano, B.N.) || A.T. Lawniczak at the University of Guelph (Hao Wu) |
| Abstract | We detect & study packet traffic anomalies similar to DDoS attacks using information entropy. We perform network-wide monitoring of information entropy of packet traffic at a small number of selected routers. Our method is based on the fact that DDoS attacks change the “natural” order and randomness of packet traffic passing through monitored routers when an attack is taking place in the network. Through this change we detect the start of the attack and study its evolution. We conduct this study for packet-switching networks using static and dynamic routing. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 382049 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424437634 |
| DOI | 10.1109/CISDA.2009.5356521 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-08 |
| Publisher Place | Ottawa, ON, Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data security Telecommunication traffic Computer networks Internet Floods Computer crime Information entropy Computer security Monitoring Computational intelligence |
| Content Type | Text |
| Resource Type | Article |
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