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Integrated Negative Selection Algorithm and Positive Selection Algorithm for malware detection

Authors: Fuyong Zhang; Ying Ma;

Integrated Negative Selection Algorithm and Positive Selection Algorithm for malware detection

Abstract

Run-time malware detection strategies are efficient and robust, which get more and more attention. In this paper, we use I/O Request Package (IRP) sequences for malware detection. N-gram will be used to analyze IRP sequences for feature extraction. Integrated Negative Selection Algorithm (NSA) and Positive Selection Algorithm (PSA), through a selection of n-gram sequences which only exist in malware IRP sequences, we have more than 96% true positive rate and 0% false positive rate.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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