1. MALICIOUS URL DETECTION For Machine Learning Coursework
BY PRAGATHI NARENDRA

2. 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. 

3. PROBLEMS

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

5. 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.

6. PROPOSED SOLUTION

7. EXAMPLE

8. REFERENCES
[1] -Malicious URL Detection using Machine Learning: A Survey Doyen Sahoo, Chenghao Liu, and Steven C.H. Hoi
malicious URL’s

9. THANK YOU ANY QUESTIONS??