Personal visual analytics for android security risk lifelog

Sangbong Yoo; Hong Ryeol Ryu; Hanbyul Yeon; Taekyoung Kwon; Yun Jang

doi:10.1145/3105971.3105975

Personal visual analytics for android security risk lifelog

Sangbong Yoo, Hong Ryeol Ryu, Hanbyul Yeon, Taekyoung Kwon, Yun Jang

Graduate School of Information

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	VINCI 2017 - 10th International Symposium on Visual Information Communication and Interaction
Editors	Shigeo Takahashi, Jie Li
Publisher	Association for Computing Machinery
Pages	29-36
Number of pages	8
ISBN (Electronic)	9781450352925
DOIs	https://doi.org/10.1145/3105971.3105975
Publication status	Published - 2017 Aug 14
Event	10th International Symposium on Visual Information Communication and Interaction, VINCI 2017 - Bangkok, Thailand Duration: 2017 Aug 14 → 2017 Aug 16

Publication series

Name	ACM International Conference Proceeding Series
Volume	Part F130152

Other

Other	10th International Symposium on Visual Information Communication and Interaction, VINCI 2017
Country/Territory	Thailand
City	Bangkok
Period	17/8/14 → 17/8/16

Bibliographical note

Funding Information:
This work was supported in part by the Ministry of Science, ICT and Future Planning, Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2016-0-00312, IITP-2017-2016-0-00304) and the grant (R0190-15-2016, Development of Complex Fast Stream Big Data Processing based on In-memory Technology in Distributed Environment) supervised by the IITP (Institute for Information & communications Technology Promotion). Yun Jang is the corresponding author.

Publisher Copyright:
© 2017 Association for Computing Machinery.

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3105971.3105975

Cite this

Yoo, S., Ryu, H. R., Yeon, H., Kwon, T., & Jang, Y. (2017). Personal visual analytics for android security risk lifelog. In S. Takahashi, & J. Li (Eds.), VINCI 2017 - 10th International Symposium on Visual Information Communication and Interaction (pp. 29-36). (ACM International Conference Proceeding Series; Vol. Part F130152). Association for Computing Machinery. https://doi.org/10.1145/3105971.3105975

@inproceedings{36126021cc0b4dbaaaf6d0dff14d2bc5,

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.",

author = "Sangbong Yoo and Ryu, {Hong Ryeol} and Hanbyul Yeon and Taekyoung Kwon and Yun Jang",

note = "Funding Information: This work was supported in part by the Ministry of Science, ICT and Future Planning, Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2016-0-00312, IITP-2017-2016-0-00304) and the grant (R0190-15-2016, Development of Complex Fast Stream Big Data Processing based on In-memory Technology in Distributed Environment) supervised by the IITP (Institute for Information & communications Technology Promotion). Yun Jang is the corresponding author. Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 10th International Symposium on Visual Information Communication and Interaction, VINCI 2017 ; Conference date: 14-08-2017 Through 16-08-2017",

year = "2017",

month = aug,

day = "14",

doi = "10.1145/3105971.3105975",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

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Yoo, S, Ryu, HR, Yeon, H, Kwon, T & Jang, Y 2017, Personal visual analytics for android security risk lifelog. in S Takahashi & J Li (eds), VINCI 2017 - 10th International Symposium on Visual Information Communication and Interaction. ACM International Conference Proceeding Series, vol. Part F130152, Association for Computing Machinery, pp. 29-36, 10th International Symposium on Visual Information Communication and Interaction, VINCI 2017, Bangkok, Thailand, 17/8/14. https://doi.org/10.1145/3105971.3105975

Personal visual analytics for android security risk lifelog. / Yoo, Sangbong; Ryu, Hong Ryeol; Yeon, Hanbyul et al.
VINCI 2017 - 10th International Symposium on Visual Information Communication and Interaction. ed. / Shigeo Takahashi; Jie Li. Association for Computing Machinery, 2017. p. 29-36 (ACM International Conference Proceeding Series; Vol. Part F130152).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Personal visual analytics for android security risk lifelog

AU - Yoo, Sangbong

AU - Ryu, Hong Ryeol

AU - Yeon, Hanbyul

AU - Kwon, Taekyoung

AU - Jang, Yun

N1 - Funding Information: This work was supported in part by the Ministry of Science, ICT and Future Planning, Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2016-0-00312, IITP-2017-2016-0-00304) and the grant (R0190-15-2016, Development of Complex Fast Stream Big Data Processing based on In-memory Technology in Distributed Environment) supervised by the IITP (Institute for Information & communications Technology Promotion). Yun Jang is the corresponding author. Publisher Copyright: © 2017 Association for Computing Machinery.

PY - 2017/8/14

Y1 - 2017/8/14

N2 - 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.

AB - 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.

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M3 - Conference contribution

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BT - VINCI 2017 - 10th International Symposium on Visual Information Communication and Interaction

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Y2 - 14 August 2017 through 16 August 2017

ER -

Personal visual analytics for android security risk lifelog

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

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