A novel approach to detect malware in portable executables of major operating systems
D Azshwanth, J. Godwin Ponsam · 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) · 2022
Innovation is the very base on which contempo- rary technology thrives, with every new innovation there is a possibility for a novel exploit. Malevolent software representssolemn cyber hazard in the convolutional cyber spatial space, the internet. Conventional malware detection techniques have failed to keep up with the pace of mounting intricacy and variants used in latest malware outbreaks. In order to camouflage their identity, tools are used to perform alterations on the binary. Moreover, this technique allows the malicious binary to pass the signature-based tests on most of the engines used for analysis. Such binaries when executed performs metamorphic attacks on the host system. The last two decades have provided us with lots of research and ways to analyse a binary but very little is donein the domain with these adverse variants. To patch the breach, this paper aims to deliver a compressive advanced static analysis malware analyser for detecting malicious binaries for all major operating systems which specializes in the art of sleuthing packedportable executables.