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Distributed Malware Detection Algorithm (DMDA)
2017
International Journal of Computer Network and Information Security
The increasing number of malwares has led to an increase in research work on malware analysis studying the malware behavior. The malware tries to leak sensitive information from infected devices. In this paper, we study a specific attack method, which distributes the data source and the point of data loss on different versions of the malware application. That is done using local storage by storing part or all of the vital data to be leaked in the future. We introduce a Distributed Malware
doi:10.5815/ijcnis.2017.08.07
fatcat:devcx2rxszfgvox5ly7anw3efy