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A Novel Approach for Predicting the Malware Attacks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 181 - Number 45 |
| Year of Publication: 2019 |
| Authors: Ekta Rokkathapa, Soumen Kanrar |
10.5120/ijca2019918585
|
Ekta Rokkathapa, Soumen Kanrar . A Novel Approach for Predicting the Malware Attacks. International Journal of Computer Applications. 181, 45 ( Mar 2019), 30-32. DOI=10.5120/ijca2019918585
Abstract
Malware means malicious software. Detecting malware over a system is malware analysis. It consists of two parts static analysis and dynamic analysis. Static analysis includes analyzing a suspicious file and dynamic analysis means observing a file during its process time. In this paper, we have proposed a framework for malware analysis based on semi automated malware detection usually machine learning which is based on dynamic malware detection . The framework shows the quality of experience (QoE) to maintain the efficiency tradeoffs and uses the method of classification. The samples of malware also shows that the framework create a strong detection method.
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