DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket
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Summary
DREBIN is proposed, a lightweight method for detection of Android malware that enables identifying malicious applications directly on the smartphone and outperforms several related approaches and detects 94% of the malware with few false alarms.
- Type
- article
- Published
- 2014-01-01
- Cited by
- 2,553
- References
- 39
- Access
- Open access
- OpenAlex
- https://openalex.org/W2122672392
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14242198
Keywords
Android malware, Malware, Android (operating system), Computer science, Computer security
References
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- Misleading worm signature generators using deliberate noise injection
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- TaintDroid
- Paranoid Android: versatile protection for smartphones
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- Structural detection of android malware using embedded call graphs
- Casting out Demons: Sanitizing Training Data for Anomaly Sensors
- Android permissions demystified
- LIBLINEAR: A Library for Large Linear Classification
- Space/time trade-offs in hash coding with allowable errors
Cited by
- Machine Learning-Based Malware Detection for Android Applications: History Matters!
- Detecting Malware with Information Complexity
- Permission-based Malware Detection Mechanisms on Android: Analysis and Perspectives
- SherlockDroid: a research assistant to spot unknown malware in Android marketplaces
- SUPOR: Precise and Scalable Sensitive User Input Detection for Android Apps
- Towards Discovering and Understanding Task Hijacking in Android
- Tap-Wave-Rub: Lightweight Human Interaction Approach to Curb Emerging Smartphone Malware
- Android malware detection: An eigenspace analysis approach
- DroidExec: Root exploit malware recognition against wide variability via folding redundant function-relation graph
- Developing a next-generation Mobile Security solution for Android
- Machine Learning Based Hybrid Behavior Models for Android Malware Analysis
- Potential Component Leaks in Android Apps: An Investigation into a New Feature Set for Malware Detection
- MARVIN: Efficient and Comprehensive Mobile App Classification through Static and Dynamic Analysis
- On several problems regarding the application of opportunistic proximate links in smartphone networks
- Back to the Future: Malware Detection with Temporally Consistent Labels
- Smart malware detection on Android
- Effectiveness of Opcode ngrams for Detection of Multi Family Android Malware
- Sistema de detección de malware en Android
- CLAPP: characterizing loops in Android applications
- Detecting Android malware using sequences of system calls
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