Graph Based Classifier to Detect Malicious URL
Journal Title: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) - Year 2017, Vol 7, Issue 5
Abstract
Malicious attack is a major issue in cyberspace. The criminal obtains vital information like username, password, and Credit/Debit card numbers, from the victims through deception. Various detection solutions are proposed in recent years. These techniques include blacklist, heuristics, machine learning, similarity and pattern matching methods. But, most of them are heavy weight methodologies in terms of time complexity and requires dedicated server for their execution. A Graph based Classifier to Detect Malicious URL (GCDMU), is proposed in this paper, which is a feature based classifier. It is a light weight, reliable approach and also effective, in detecting malicious URL.
Authors and Affiliations
Jayakanthan. N, A. V. Ramani
Keywords
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