AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 4868131
- Type
- D - Journal article
- DOI
-
10.1016/j.cose.2016.11.007
- Title of journal
- Computers and 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. This paper proposes and evaluates novel detection capability based upon Android Intents, which significantly improves malware detection capability. The technique has gained widespread recognition, with consequent adoption as a contributing method within a series of subsequent research studies. It appears likely that it will have increasing impact in the practical implementation of detection methods.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
