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Oct 15, 2015 · Our approach aims to capture the malicious behavior (i.e., high-level semantics) of malware. To this end, we first propose the frequency-centric ...
Abstract—Recently, malware has increasingly become a crit- ical threat to embedded systems, while the conventional soft- ware solutions, such as antivirus ...
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In this paper, we propose a hardware-enhanced architecture, GuardOL, to perform online malware detection. GuardOL is a combined approach using processor and ...
Feb 1, 2016 · Our approach aims to capture the malicious behavior (i.e., high-level semantics) of malware. To this end, we first propose the frequency-centric ...
Semantics-Based Online Malware Detection - Towards Efficient Real-Time Protection Against Malware. Semantics-Based Online Malware Detection ...
Our approach aims to capture the malicious behavior (i.e., high-level semantics) of malware. To this end, we first propose the frequency-centric model for ...
Semantics-Based Online Malware Detection: Towards Efficient Real-Time Protection Against Malware. Abstract— Recently, malware has increasingly become a ...
Therefore, an adequate protection against such threats is vital. Behavior-based malware detection techniques have shown to be effective at overcoming the ...
S. Das et al. Semantics-based online malware detection: towards efficient real-time protection against malware. IEEE Trans.
Abstract. Malware detection is a crucial aspect of software security. Cur- rent malware detectors work by checking for “signatures,” which attempt to ...
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