Malicious URL Detection Using Machine Learning
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Date
2018-06-19T09:56:11Z
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Abstract
New Communication Techmologies has had a tremendous impact in promotion and business growth spanning across many applications. The importance of World Wide Web has continuously been increasing. Unfortunately, the technological advancements come with new sophisticated techniques to attack and scam users. Such attacks include malicious websites that sell counterfeit goods, revealing sensitive information which eventually lead to theft of money leading to financial fraud and theft of money or identity occurs, they can even install malware in the user’s system. There are wide variety of implementations for the attacks such as explicit hacking attempts, drive-by exploits phishing, watering hole, Social engineering, man-in-the middle, SQL injections, loss or theft services etc
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PRASHANTH MANOHAR G, PUNITH KAMINI S, MAHENDRA V, BHASKAR M, 1NH14CS093, 1NH14CS096, 1NH14CS065, (1NH15CS424