Abstract
This paper follows our previous research in which we made a basic experiment to find out if it is possible to detect malware by multiple PE header detection. The previous results show us that there is a considerable amount of malwares that connect themselves to another file. This paper summarizes our previous results, updates the results and also expands them by adding an optimization method and also by including the scan of another (specific) types of data. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Highlights
ObjectivesThe goal of our research is to scan a representative number of samples and to determine how often the malware is bound to host le by one of the described method
From our previous research, it is apparent that there are groups of malwares called parasitic viruses they infect other les by connecting their code to the host le
We are able to detect multiple PE headers and if the scanned le goes through our optimization lter, this le is labelled as dangerous
Summary
The goal of our research is to scan a representative number of samples and to determine how often the malware is bound to host le by one of the described method
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