Cyber Code Intelligence for Android Malware Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3164625
Abstract: Evolving Android malware poses a severe security threat to mobile users, and machine-learning (ML)-based defense techniques attract active research. Due to the lack of knowledge, many zero-day families’ malware may remain undetected until the classifier… read more here.
Keywords: capability; malware detection; malware; android malware ... See more keywords
EC2: Ensemble Clustering and Classification for Predicting Android Malware Families
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2017.2739145
Abstract: As the most widely used mobile platform, Android is also the biggest target for mobile malware. Given the increasing number of Android malware variants, detecting malware families is crucial so that security analysts can identify… read more here.
Keywords: monospace ec2; android malware; ec2 monospace; malware families ... See more keywords