ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

An Accurate Classifier for Detecting the Ecosystem of Malicious Application on Online Social Network using MADE

Journal: International Journal of Computer Techniques (Vol.3, No. 4)

Publication Date:

Authors : ;

Page : 37-42

Keywords : Keywords: Facebook apps; malicious; online social networks; spam.;

Source : Downloadexternal Find it from : Google Scholarexternal

Abstract

Third-party apps are a major reason for the popularity and addictiveness of Online Social Network. However little is understood about the characteristics of malicious apps and how they operate. Malicious apps are much more likely to share names with other apps, and they typically request fewer permissions than benign apps. We will propose MADE – a Malicious Application Detector and Evaluator that will do two major things. Firstly, we will find the malicious apps often share names with other apps, and they typically request fewer permissions than benign apps. Secondly, leveraging these distinguishing features, we show that MADE can detect malicious apps with certain accuracy. We will also highlight the emergence of appnets and will keep continue to dig deeper.

Last modified: 2017-12-12 12:03:37