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Window-Based Statistical Analysis Of Timing Subcomponents For Efficient Detection Of Malware In Life-Critical Systems | IEEE Conference Publication | IEEE Xplore

Window-Based Statistical Analysis Of Timing Subcomponents For Efficient Detection Of Malware In Life-Critical Systems


Abstract:

Securing life-critical embedded systems, particularly medical devices, requires both proactive security measures that prevent intrusions and reactive measures that detect...Show More

Abstract:

Securing life-critical embedded systems, particularly medical devices, requires both proactive security measures that prevent intrusions and reactive measures that detect intrusions. This paper presents a novel model for specifying the normal timing for operations in software applications using cumulative distribution functions of timing subcomponent within sliding execution windows. We present a probabilistic formulation for estimating the presence of malware for individual operations by monitoring the internal timing of the different components of the system, and we define thresholds to minimize false positives based on training data. Experimental results with a smart connected pacemaker and three sophisticated mimicry malware scenarios demonstrate improved performance and accuracy compared to state-of-the-art timing-based malware detection.
Date of Conference: 29 April 2019 - 02 May 2019
Date Added to IEEE Xplore: 10 June 2019
ISBN Information:
Conference Location: Tucson, AZ, USA

References

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