Lexical features based malicious URL detection using machine learning techniques

Saleem Raja Abdul Samad; R. Vinodini; A. Kavitha

doi:10.1016/j.matpr.2021.04.041

ScienceGate Book Chapters

JOURNAL ARTICLE

Lexical features based malicious URL detection using machine learning techniques

Saleem Raja Abdul Samad R. Vinodini A. Kavitha

Year: 2021 Journal: Materials Today Proceedings Vol: 47 Pages: 163-166 Publisher: Elsevier BV

DOI: 10.1016/j.matpr.2021.04.041

Get Full-Text PDF Get Analytical Report

Keywords:

Malware Computer science Intension Lexical analysis The Internet Random forest Classifier (UML) Domain (mathematical analysis) Computer security Machine learning Phishing Computer virus Artificial intelligence Information retrieval World Wide Web

Metrics

Cited By

17.47

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Lexical features based malicious URL detection using machine learning techniques

Metrics

Citation History

Topics

Related Documents

Detection of Malicious URLs using Machine Learning based on Lexical Features

Detecting malicious URLs using lexical features and machine learning techniques

Malicious URL detection using machine learning techniques

Malicious URL Detection Using Machine Learning Techniques

Malicious Query Detection Using Lexical Analyzer and Machine Learning