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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shreeram, V. Suban, M. Shanthi, P. Manjula, K. |
| Copyright Year | 2010 |
| Description | Author affiliation: SASTRA UNIVERSITY, KUMBAKONAM, India (Shreeram, V.; Suban, M.; Shanthi, P.; Manjula, K.) |
| Abstract | An approach to detection of phishing hyperlinks using the rule based system formed by genetic algorithm is proposed, which can be utilized as a part of an enterprise solution to anti-phishing. A legitimate webpage owner can use this approach to search the web for suspicious hyperlinks. In this approach, genetic algorithm is used to evolve rules that are used to differentiate phishing link from legitimate link. Evaluating the parameters like evaluation function, crossover and mutation, GA generates a ruleset that matches only the phishing links. This ruleset is stored in a database and a link is reported as a phishing link if it matches any of the rules in the rule based system and thus it keeps safe from fake hackers. Preliminary experiments show that this approach is effective to detect phishing hyperlink with minimal false negatives at a speed adequate for online application. |
| Starting Page | 447 |
| Ending Page | 450 |
| File Size | 80963 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424477692 |
| e-ISBN | 9781424477708 |
| DOI | 10.1109/ICCCCT.2010.5670593 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-07 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Gallium Rule based system Companies Anti Phishing Electronic mail Mutation IP networks Security Crossover Biological cells Postal services |
| Content Type | Text |
| Resource Type | Article |
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