Paper Info
Title
Visual analytics and visualization for android security risk.
Abstract
Nowadays, smart devices enable most of the personal tasks such as banking, mailing, and paperwork that people do on their personal computers (PCs). For this reason, personal information on smart devices has become a good target for malware. Especially, Malware targeted at personal information stored on mobile are hard to detect and risks from usage patterns are even more difficult. The security risk tends to be underestimated by device users and causes critical problems especially on personal information leakage and costing money unconsciously. Malware is also often activated unsuspectedly. Therefore, a means for easy recognition of the problems and the smartphone usage is necessary. In this paper, we present a visual analytics system (VA) for Android security risk lifelog using app permissions to recognize the risk. Our system stores the security-related personal information on the smartphone device and utilizes it to analyze the security risk lifelog. For the risk analysis, we define security risk scores based on the app and permission statistics. Then, several linked visualizations are designed to present the risk lifelog. We have collected the security lifelog data from eight Android smartphone users and analyzed their security matters. Our PVA system enables Android smartphone users to observe, mitigate the security risk, and eventually understand how Android security risk affects their lives. Moreover, we present a user study to evaluate the PVA system with user feedback.
Year
DOI
Venue
2019
10.1016/j.cola.2019.03.004
Journal of Computer Languages
Keywords
DocType
Volume
Visual analytics,Permission visualization,Permission-based malware detection,Malicious pattern detection
Journal
53
ISSN
Citations 
PageRank 
2590-1184
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Sangbong Yoo102.37
Hong Ryeol Ryu200.34
Hanbyul Yeon3113.49
Taekyoung Kwon41894153.24
Yun Jang530225.63