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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vural, I. Venter, H.S. |
| Copyright Year | 2010 |
| Abstract | Malicious software often infects a corporate network by exploiting security holes in web browsers to infiltrate a PC when its user visits a dodgy website. Compromised machines can then be linked up to form “Bot-nets” under external control, which are used to send spam e-mails or disable websites with a flood of bogus requests. This Paper looks at identity concealment techniques and Bot-net characteristics followed by an introduction to the concept of network forensics. The paper then proposes the use of computational intelligence techniques to detect Bot-nets. We then simulate anomaly detection in the next section followed by an interpretation of the simulated results in the following section. Followed by a section describing future work, the paper then concludes by discussing how the system would be tested on an organizational network. |
| Starting Page | 725 |
| Ending Page | 731 |
| File Size | 280234 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424462704 |
| e-ISBN | 9781424462711 |
| DOI | 10.1109/ITNG.2010.67 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Forensics Computational modeling Unsolicited electronic mail fuzzy logic Proposals Information technology artificial intelligence abnormality detection Web and internet services Spammers Bandwidth Artificial intelligence Computational intelligence |
| Content Type | Text |
| Resource Type | Article |
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