Towards Privacy Risk Analysis in Android Applications Using Machine Learning Approaches

Kavita Sharma and B. B. Gupta
Additional contact information
Kavita Sharma: Department of Computer Engineering, National Institute of Technology, Kurukshetra, India
B. B. Gupta: Department of Computer Engineering, National Institute of Technology, Kurukshetra, India

International Journal of E-Services and Mobile Applications (IJESMA), 2019, vol. 11, issue 2, 1-21

Abstract: Android-based devices easily fall prey to an attack due to its free availability in the android market. These Android applications are not certified by the legitimate organization. If the user cannot distinguish between the set of permissions requested by an application and its risk, then an attacker can easily exploit the permissions to propagate malware. In this article, the authors present an approach for privacy risk analysis in Android applications using machine learning. The proposed approach can analyse and identify the malware application permissions. Here, the authors achieved high accuracy and improved F-measure through analyzing the proposed method on the M0Droid dataset and completed testing on an extensive test set with malware from the Androzoo dataset and benign applications from the Drebin dataset.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJESMA.2019040101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jesma0:v:11:y:2019:i:2:p:1-21

Access Statistics for this article

International Journal of E-Services and Mobile Applications (IJESMA) is currently edited by Rajeev Dwivedi

More articles in International Journal of E-Services and Mobile Applications (IJESMA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().