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Poster: Sdguard: An Android Application Implementing Privacy Protection and Ransomware Detection

Authors:

Shuangxi Hong,

Chuanchang Liu,

Bingfei Ren,

Junliang ChenAuthors Info & Claims

MobiSys '17: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

Page 149

https://doi.org/10.1145/3081333.3089293

Published: 16 June 2017 Publication History

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Abstract

Currently, the smartphone has become an essential communication and amusement tool, which has strong computing power and a variety of functions. Especially, the market share of smartphone with android system account for 84% in 2016[1]. Under android system, a large of privacy data (e.g. photos or videos) are stored in external storage (emulated Sdcard storage), which can be accessed by installed apps. This not only results in privacy leakage but also incurs ransomware attack[2] (e.g. simplocker). Therefore, we present Sdguard, an app, can implement fine-grain permission control based on Linux DAC mechanism and detect ransomware which encrypts content of file stored in external storage or lock user screen. To install Sdguard app, we need to ensure that the smartphone has been rooted and use FUSE filesystem on external storage. During installing, sdcard daemon of android (i.e. FUSE daemon) is replaced by our customized sdcard daemon. After rebooting system, the customized daemon is loaded, and each component of Sdguard is running.

References

[1]

2016. android OS of global smartphone shipments.{Online}. Available: https://www.statista.com/statistics/236027/globalsmartphone-os-market-share-of-android/

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[2]

ANDRONIO, N., ZANERO, S., and MAGGI, F., 2015. HelDroid: Dissecting and Detecting Mobile Ransomware. In Research in Attacks, Intrusions, and Defenses: 18th International Symposium, RAID 2015, Kyoto, Japan,November 2--4, 2015. Proceedings, H. BOS, F. MONROSE and G. BLANC Eds. Springer International Publishing, Cham, 382--404.

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Ghulam FIrfan MHassan F(2022)A study of ransomware attacks on windows platformi-manager's Journal on Computer Science10.26634/jcom.9.4.185309:4(21)Online publication date: 2022
https://doi.org/10.26634/jcom.9.4.18530
Almohaini RAlmomani IAlKhayer A(2021)Hybrid-Based Analysis Impact on Ransomware Detection for Android SystemsApplied Sciences10.3390/app11221097611:22(10976)Online publication date: 19-Nov-2021
https://doi.org/10.3390/app112210976
Hu JZhang YCui Y(2020)Research on Android Ransomware Protection TechnologyJournal of Physics: Conference Series10.1088/1742-6596/1584/1/0120041584(012004)Online publication date: 17-Jul-2020
https://doi.org/10.1088/1742-6596/1584/1/012004
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Index Terms

Poster: Sdguard: An Android Application Implementing Privacy Protection and Ransomware Detection
1. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
      1. Application specific development environments
  2. Software organization and properties
    1. Extra-functional properties
      1. Interoperability
    2. Software system structures
      1. Abstraction, modeling and modularity

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Information

Published In

MobiSys '17: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

June 2017

520 pages

ISBN:9781450349284

DOI:10.1145/3081333

General Chairs:
Tanzeem Choudhury
Cornell University, USA
,
Steve Ko
University at Buffalo, USA
,
Program Chairs:
Andrew Campbell
Dartmouth College, USA
,
Deepak Ganesan
University of Massachusetts, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2017

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Author Tags

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Poster

Funding Sources

National Natural Science Foundation of China
National Grand Fundamental Research 973 Program of China

Conference

MobiSys'17

Sponsor:

SIGMOBILE

MobiSys'17: The 15th Annual International Conference on Mobile Systems, Applications, and Services

June 19 - 23, 2017

New York, Niagara Falls, USA

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MobiSys '17 Paper Acceptance Rate 34 of 188 submissions, 18%;

Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Ghulam FIrfan MHassan F(2022)A study of ransomware attacks on windows platformi-manager's Journal on Computer Science10.26634/jcom.9.4.185309:4(21)Online publication date: 2022
https://doi.org/10.26634/jcom.9.4.18530
Almohaini RAlmomani IAlKhayer A(2021)Hybrid-Based Analysis Impact on Ransomware Detection for Android SystemsApplied Sciences10.3390/app11221097611:22(10976)Online publication date: 19-Nov-2021
https://doi.org/10.3390/app112210976
Hu JZhang YCui Y(2020)Research on Android Ransomware Protection TechnologyJournal of Physics: Conference Series10.1088/1742-6596/1584/1/0120041584(012004)Online publication date: 17-Jul-2020
https://doi.org/10.1088/1742-6596/1584/1/012004
Gupta SBuriro ACrispo B(2020)A Risk-Driven Model to Minimize the Effects of Human Factors on Smart DevicesEmerging Technologies for Authorization and Authentication10.1007/978-3-030-39749-4_10(156-170)Online publication date: 25-Jan-2020
https://doi.org/10.1007/978-3-030-39749-4_10
ABDULLAHI MSHAFI'I MMORUFU OIDRIS I(2019)AN INTELLIGENT CRYPTO-LOCKER RANSOMWARE DETECTION TECHNIQUE USING SUPPORT VECTOR MACHINE CLASSIFICATION AND GREY WOLF OPTIMIZATION ALGORITHMSi-manager’s Journal on Software Engineering10.26634/jse.13.3.1568513:3(15)Online publication date: 2019
https://doi.org/10.26634/jse.13.3.15685
Maigida AAbdulhamid SOlalere MAlhassan JChiroma HDada E(2019)Systematic literature review and metadata analysis of ransomware attacks and detection mechanismsJournal of Reliable Intelligent Environments10.1007/s40860-019-00080-3Online publication date: 3-May-2019
https://doi.org/10.1007/s40860-019-00080-3
Alzahrani AAlshehri AAlshahrani HAlharthi RFu HLiu AZhu Y(2018)RanDroid: Structural Similarity Approach for Detecting Ransomware Applications in Android Platform2018 IEEE International Conference on Electro/Information Technology (EIT)10.1109/EIT.2018.8500161(0892-0897)Online publication date: May-2018
https://doi.org/10.1109/EIT.2018.8500161

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Poster: Android Whole-System Control Flow Analysis for Accurate Application Behavior Modeling

Parallel Space Traveling: A Security Analysis of App-Level Virtualization in Android

Discovering and understanding android sensor usage behaviors with data flow analysis

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Poster: Android Whole-System Control Flow Analysis for Accurate Application Behavior Modeling

Parallel Space Traveling: A Security Analysis of App-Level Virtualization in Android

Discovering and understanding android sensor usage behaviors with data flow analysis

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