Paper Info
Title
Mitigation and risk factor analysis of android applications.
Abstract
Today, researchers face numerous challenges when attempting to identify malicious apps in the android market. Android apps require permissions to access the functionality of the mobile device. Moreover, these permissions can be used to know the app's behaviour. In this paper, we present a novel approach (called RNPDroid) for risk mitigation using the analysis of permissions. To evaluate the proposed approach, the M0Droid dataset is used, which consists of 400 Android app samples. All permissions of the obtained samples are analysed through reverse engineering, and total 165 permissions are attained. The computed value of F (517.3) is much higher than the tabulated value of F (2.61) at a 5% level of significance. The analysis of variance (ANOVA) states that one of the risk factors is significantly different from others. Moreover, the t-test is used to show the significant difference between medium and low risk.
Year
DOI
Venue
2018
10.1016/j.compeleceng.2018.08.003
Computers & Electrical Engineering
Keywords
Field
DocType
Android permission,Data leakage,Reverse engineering,Malicious app classification,Risk analysis,Android app analysis
Android app,Android (operating system),Computer science,Reverse engineering,Computer network,Mobile device,Risk management,Risk factor,Database
Journal
Volume
ISSN
Citations 
71
0045-7906
2
PageRank 
References 
Authors
0.46
11
2
Name
Order
Citations
PageRank
Kavita Sharma163.25
B. B. Gupta251846.49