CopperDroid: Automatic Reconstruction of Android Malware Behaviors
- Submitting institution
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King's College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 126612473
- Type
- E - Conference contribution
- DOI
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10.14722/ndss.2015.23145
- Title of conference / published proceedings
- NDSS Symposium 2015
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- February
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper presents an analysis framework for Android applications. The work contains several innovative ideas that set it apart from other work. For example, it relies on the combination of dynamic program analysis along with runtime objects introspection to automatically reconstruct serialized complex Android objects and behaviours, even across the fragmented Android ecosystem. The paper attracted the interest of Huawei Finland and CISCO Talos, with whom the authors are discussing potential exploitation opportunities (automatic dynamic Android app analysis engine).
- Author contribution statement
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- Non-English
- No
- English abstract
- -