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arXiv · 1606.06909

Improving the detection accuracy of unknown malware by partitioning the executables in groups

Ashu Sharma·Sanjay K. Sahay·Abhishek Kumar
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Abstract

Detection of unknown malware with high accuracy is always a challenging task. Therefore, in this paper, we study the classification of unknown malware by two methods. In the first/regular method, similar to other authors [17][16][20] approaches we select the features by taking all dataset in one group and in the second method, we select the features by partitioning the dataset in the range of file 5 KB size. We find that the second method to detect the malware with ~8.7% more accurate than the first/regular method.

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Ashu Sharma, Sanjay K. Sahay, Abhishek Kumar. 2016-06-22. Improving the detection accuracy of unknown malware by partitioning the executables in groups. https://arxiv.org/abs/1606.06909

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