Volume 07,Issue 01

Provide A Way To Improve Malware Detection Using Backup Vector Machine And Cuckoo Algorithm

Authors

Reza Molaee Fard

Abstract
Today, in spite of the existing malware, the number of which is increasing day by day, it seems necessary to have a solution that can deal with this malware and can detect these malware. This study provides a way to improve the detection of malicious malware that causes damage to the software system. By first categorizing our data using a backup vector machine, we then optimize the data obtained using the cuckoo algorithm so that we can increase the accuracy of the data. The results of this study are the result of the remarkable accuracy of the proposed method. So that the proposed method was able to achieve 99% accuracy compared to other existing methods, and it can be said that the proposed method worked well and was able to correctly detect malware to a large extent and improve system performance.

Keyword: Malware Detection, Support Vector Machine, Cuckoo Algorithm.

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