Dec 24, 2021 · Each classifier predicts the applicability of one of the attacks. The set of classifiers creates an ensemble, which shows high success rates, ...
This study presents a set of innovative problem-based evasion attacks against well-known Android malware detection systems, which decrease their detection rate ...
This study presents a set of innovative problem-based evasion attacks against well-known Android malware detection systems, which decrease their detection ...
Abstract ; Publication: IEEE Access ; Pub Date: 2022 ; DOI: 10.1109/ACCESS.2021.3138628 ; Bibcode: 2022IEEEA..10.1317B.
Machine learning based malware detection is known to be vulnerable to adversarial evasion attacks. The state-of-the-art is that there are no effective ...
Duration: 0:43
Posted: Dec 14, 2022
Posted: Dec 14, 2022
Crystal ball: From innovative attacks to attack effectiveness classifier ... This study presents a set of innovative problem-based evasion attacks against well- ...
Bibliographic details on Crystal Ball: From Innovative Attacks to Attack Effectiveness Classifier.
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Android OS is one of the most popular operating systems worldwide, making it a desirable target for malware attacks. Some of the latest and most important ...