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.PL2013
Efficiently Retrieving Function Dependencies in the Linux Kernel Using XSB
Spyros Hadjichristodoulou, Donald E. Porter, David S. Warren
In this paper we investigate XSB-Prolog as a static analysis engine for data represented by medium-sized graphs. We use XSB-Prolog to automatically identify function dependencies i…