Android Malware Detection
13 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Android Malware Detection
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Most implemented papers
Efficient Concept Drift Handling for Batch Android Malware Detection Models
Particularly, we analyze the effect of two aspects in the efficiency and performance of the detectors: 1) the frequency with which the models are retrained, and 2) the data used for retraining.
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks
seu-proactivesecurity-group/malpurifier
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Experimental results on two Android malware datasets demonstrate that MalPurifier outperforms the state-of-the-art defenses, and it significantly strengthens the vulnerable malware detector against 37 evasion attacks, achieving accuracies over 90. 91%.
Crystal ball: From innovative attacks to attack effectiveness classifier
This study presents a set of innovative problem-based evasion attacks against well-known Android malware detection systems, which decrease their detection rate by up to 97%.
