Paper Info
Title
Personal visual analytics for android security risk lifelog
Abstract
In recent years, people can do most of their personal tasks, such as banking on smart devices like personal computers (PCs). Especially, Malware targeted at personal information stored on mobile are hard to detect and risks from usage patterns are even more difficult. Therefore, a means for easy recognition of the problems and the smartphone usage is necessary. In this paper, we present a personal visual analytics (PVA) system 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
2017
10.1145/3105971.3105975
VINCI
Field
DocType
ISBN
Android security,Data mining,Permission,Internet privacy,World Wide Web,Lifelog,Android (operating system),Computer science,Risk analysis (business),Visual analytics,Personally identifiable information,Malware
Conference
978-1-4503-5292-5
Citations 
PageRank 
References 
0
0.34
18
Authors
5
Name
Order
Citations
PageRank
Sangbong Yoo102.37
Hong Ryeol Ryu200.34
Hanbyul Yeon3113.49
Taekyoung Kwon41894153.24
Yun Jang530225.63