AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection
- Submitting institution
-
University of Plymouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 883
- Type
- D - Journal article
- DOI
-
10.1016/j.cose.2016.11.007
- Title of journal
- Computers & Security
- Article number
- -
- First page
- 121
- Volume
- 65
- Issue
- -
- ISSN
- 0167-4048
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 66
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Malware on Android mobile devices continues to pose a significant and growing threat, and detection of malicious code is consequently a challenging but vital safeguard. The evaluation of detection capability based upon Android Intents - as proposed and evaluated in the paper - represents a novel contribution that can significantly improve malware detection capability. The potential of the technique has since gained widespread recognition, with consequent adoption as contributing method within a series of subsequent research studies. The work therefore makes an influential ongoing contribution, which appears likely to lead to increasing impact in the practical implementation of detection methods.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -