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Malicious URL Detection by Feature Extraction and Machine Learning

Author(s):

Onkar Kiran Sawant , NESGOI , PUNE; Aishwarya Sunil Kochale, NESGOI , PUNE; Priyanka Satish Jagtap, NESGOI , PUNE; Akshata Prakash Nanaware, NESGOI , PUNE

Keywords:

Malicious URL Detection; Web-Based Attacks; Feature Extraction; Malicious Web Pages

Abstract

Fraud website or malicious URLs are one of the most common and least defended security threats today. We present an approach which uses text processing techniques to analyze text and detect inappropriate statements which are indicative of phishing attacks and also uses machine learning features for detection of phishing URLs.

Other Details

Paper ID: IJSRDV7I30574
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 857-859

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