Idea: Benchmarking Android Data Leak Detection Tools

Corrodi, Claudio; Spring, Timo; Ghafari, Mohammad; Nierstrasz, Oscar (2018). Idea: Benchmarking Android Data Leak Detection Tools. In: Payer, Mathias; Rashid, Awais; Such, Jose M. (eds.) 10th International Symposium Engineering Secure Software and Systems (ESSoS) 2018. Lecture Notes in Computer Science: Vol. 10953 (pp. 116-123). Cham: Springer International Publishing 10.1007/978-3-319-94496-8_9

[img] Text
Corr18a.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (336kB)

Virtual application stores for mobile platforms contain many malign and benign applications that exhibit security issues, such as the leaking of sensitive data. In recent years, researchers have proposed a myriad of techniques and tools to detect such issues automatically. However, it is unclear how these approaches perform compared to each other. The tools are often no longer available, thus comparing different approaches is almost infeasible.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF)
08 Faculty of Science > Institute of Computer Science (INF) > Software Composition Group (SCG) [discontinued]

UniBE Contributor:

Corrodi, Claudio, Ghafari, Mohammad, Nierstrasz, Oscar

Subjects:

000 Computer science, knowledge & systems

ISBN:

978-3-319-94496-8

Series:

Lecture Notes in Computer Science

Publisher:

Springer International Publishing

Language:

English

Submitter:

Oscar Nierstrasz

Date Deposited:

04 Jun 2019 17:00

Last Modified:

05 Dec 2022 15:26

Publisher DOI:

10.1007/978-3-319-94496-8_9

Uncontrolled Keywords:

scg-pub snf-asa2 snf18 scg18 jb18

BORIS DOI:

10.7892/boris.126931

URI:

https://boris.unibe.ch/id/eprint/126931

Actions (login required)

Edit item Edit item
Provide Feedback