Wednesday, January 26, 2022

Optimised Malware Detection in Digital Forensics


Author :  SaeedAlmarri

Affiliation :  University of Bedfordshire

Country :  United Kingdom

Category :  Networks & Communications

Volume, Issue, Month, Year :  6, 1, January, 2014

Abstract :

On the Internet, malware is one of the most serious threats to system security. Most complex issues and problems on any systems are caused by malware and spam. Networks and systems can be accessed and compromised by malware known as botnets, which compromise other systems through a coordinated attack. Such malware uses anti-forensic techniques to avoid detection and investigation. To prevent systems from the malicious activity of this malware, a new framework is required that aims to develop an optimised technique for malware detection. Hence, this paper demonstrates new approaches to perform malware analysis in forensic investigations and discusses how such a framework may be developed.

Keyword :  Denial of service (DOS), Wireshark, Netstat, TCPView, The Sleuth Kit (TSK), Autopsy, Digital Forensics, Malware analysis, Framework

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