12 citations · 12 across the 2 of their papers we have counts for
2 papers
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★ 12 cited
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
Ruimin Sun, Xiaoyong Yuan, Pan He +5
Existing malware detectors on safety-critical devices have difficulties in runtime detection due to the performance overhead. In this paper, we introduce PROPEDEUTICA, a framework…