Malicious URL Detection Using Rule Based Optimization Techniques

N. Jayakanthan
2020 Bioscience Biotechnology Research Communications  
The suspicious URL cause harms to users dealing with online tractions. The malicious URLs are harmful to society and induvial user. It attacks the victims computer and steal all their confidential information. Such malicious URL to be analyzed identified and blocked. In this paper we prose rule based model DETECTX to detect the malicious URL. This algorithm analyses various features of the URL for classification. The experimental result shows the efficiency of the proposed system.
doi:10.21786/bbrc/13.11/18 fatcat:qbxznnnwkneo5lnsclval54acy