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cs.CR2018
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation
Ruimin Sun, Marcus Botacin, Nikolaos Sapountzis +6
A promising avenue for improving the effectiveness of behavioral-based malware detectors would be to combine fast traditional machine learning detectors with high-accuracy, but tim…
cs.CR2017★ 3 cited
LeakSemantic: Identifying Abnormal Sensitive Network Transmissions in Mobile Applications
Hao Fu, Zizhan Zheng, Somdutta Bose +2
Mobile applications (apps) often transmit sensitive data through network with various intentions. Some transmissions are needed to fulfill the app's functionalities. However, trans…