Phishing Email Filtering Techniques A Survey
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2014 by IJCTT Journal | ||
| Volume-17 Number-1 |
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| Year of Publication : 2014 | ||
| Authors : P.Rohini , K.Ramya | ||
| DOI : 10.14445/22312803/IJCTT-V17P105 |
P.Rohini , K.Ramya. "Phishing Email Filtering Techniques A Survey ". International Journal of Computer Trends and Technology (IJCTT) V17(1):18-21, Nov 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The most interesting species of Internet fraud is Phishing. Email Phishing is a vulnerable activity which is referred as E-mail fraud, includes web link or form and Asks for confidential information such as password, account details. The email will be classified as phishing email and legitimate email by various phishing email filter techniques based on their functional activities. Various Anti phishing Mechanisms and tools are used for user’s protection against this fraudulent act by using heuristics method and machine learning algorithm by (SVM) support vector machine classifier. The phishing problem is highly effective and no single solution exists to mitigate all the vulnerabilities effectively. This survey relies on recently developed anti phishing mechanisms and tools.
References
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Keywords
Phishing Email, legitimate Email, vulnerability, Anti-phishing, SVM, Heuristics, Machine Learning Algorithm.