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Malicious Web Page Detection in Mobile

Author(s):

Syeda Farheen Sultana , Khaja Banda Nawaz College of Engineering; Dr. Sameena Banu, Khaja Banda Nawaz College of Engineering

Keywords:

Web Security, Vulnerability

Abstract

Web security is becoming an important concern. As mobile malicious web pages that exploit user’s vulnerabilities, is a threat to the security of the user. Hence, there has been an interest in developing a systems to prevent the end user from accessing such pages. Mobile web pages is different in their design, and content. Hence, existing methods to identify maliciousness are improbable to work for such mobile website pages. In our paper, we propose and execute kAYO, a program that identify malice website pages. We begin with, presenting the requirement for the mobile and then static features are obtained .We at that point apply kAYO to a dataset of more than 350,000 known benevolent and malevolent portable pages and show 90% of correctness in order. Additionally, we find, various report of website pages skipped by Google Safe Browsing and Virus Total, which is found by kAYO. Thus, we develop a program which uses kAYO to defend users from malicious site pages.

Other Details

Paper ID: IJSRDV6I40971
Published in: Volume : 6, Issue : 4
Publication Date: 01/07/2018
Page(s): 1275-1277

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