High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Malicious URL Detection Techniques in Social Networks

Author(s):

Meena Kumari , Shri Krishna Institute of Engineering and Technology; Sakshi Gautam, Shri Krishna Institute of Engineering and Technology

Keywords:

SN (Social Network), URLs (Uniform Resource Locator), Web Crawler, Classifier and Machine Learning

Abstract

In recent years demand of social networks increases rapidly. A social network provides connectivity between users and their friends. A user can contact from number of users and share text audios and videos to everyone. Due to large number of occurrence of users chances of violation of security is high An malware can send spam messages by using malicious URLs to access users personal information and misuse this information latterly. In this paper malicious URL and its detection techniques with different classifier methods has been presented.

Other Details

Paper ID: IJSRDV5I50295
Published in: Volume : 5, Issue : 5
Publication Date: 01/08/2017
Page(s): 1157-1159

Article Preview

Download Article