Abstract
The Android platform uses a permission system model to allow users and developers to regulate access to private information and system resources required by applications. Permissions have been proved to be useful for inferring behaviors and characteristics of an application. In this paper, a novel method to extract contrasting permission patterns for clean and malicious applications is proposed. Contrary to existing work, both required and used permissions were considered when discovering the patterns. We evaluated our methodology on a clean and a malware dataset, each comprising of 1227 applications. Our empirical results suggest that our permission patterns can capture key differences between clean and malicious applications, which can assist in characterizing these two types of applications.
Original language | English |
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Title of host publication | Security and Privacy in Communication Networks - 9th International ICST Conference, SecureComm 2013, Revised Selected Papers |
Editors | Tanveer Zia, Morley Mao, Albert Zomaya, Vijay Varadharajan |
Publisher | Springer-Verlag London Ltd. |
Pages | 69-85 |
Number of pages | 17 |
ISBN (Print) | 9783319042824 |
Publication status | Published - 1 Jan 2013 |
Externally published | Yes |
Event | International Conference on Security and Privacy for Communication Networks2013 - Sydney, Australia Duration: 25 Sept 2013 → 28 Sept 2013 Conference number: 9th https://link.springer.com/book/10.1007/978-3-319-04283-1 (Proceedings) |
Publication series
Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
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Volume | 127 LNICST |
ISSN (Print) | 1867-8211 |
Conference
Conference | International Conference on Security and Privacy for Communication Networks2013 |
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Abbreviated title | SecureComm 2013 |
Country/Territory | Australia |
City | Sydney |
Period | 25/09/13 → 28/09/13 |
Internet address |
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Keywords
- Android permission
- Contrast mining
- Malware detection
- Permission pattern