MALICIOUS URL DETECTION For Machine Learning Coursework BY PRAGATHI NARENDRA

PROBLEMS Everything online-> is your data secure?? Cyber attacks- huge threat in current days Monetary loss Theft of private information Malware installation Virus, etc… Cause losses of billions of dollars every year. 

PROBLEMS

EXISTING SOLUTION Existing solution : Blacklisting URL Blacklisting lacks the ability to detect newly generated malicious URL’s. [1]

PROPOSED SOLUTION Classifying Web sites into 3 classes: Benign (0), Spam (1) and Malicious (2) Classification based on features of URL 1. Lexical features 2. Popularity 3. Host based features Merit : Site checked without accessing-reduces vulnerability of user.

PROPOSED SOLUTION

EXAMPLE

REFERENCES [1] -Malicious URL Detection using Machine Learning: A Survey Doyen Sahoo, Chenghao Liu, and Steven C.H. Hoi http://sysnet.ucsd.edu/projects/url/detecting malicious URL’s http://archive.ics.uci.edu/ml/datasets/URL+Reputation

THANK YOU ANY QUESTIONS??