JOURNAL ARTICLE

Malicious URL Detection Using Rule Based Optimization Techniques

N. Jayakanthan

Year: 2020 Journal:   Bioscience Biotechnology Research Communications Vol: 13 (11)Pages: 79-81

Abstract

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.

Keywords:
Computer science Data mining

Metrics

2
Cited By
0.28
FWCI (Field Weighted Citation Impact)
4
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Spam and Phishing Detection
Physical Sciences →  Computer Science →  Information Systems
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications

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