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arXiv · 1807.10446

A Cyber Kill Chain Based Taxonomy of Banking Trojans for Evolutionary Computational Intelligence

Dennis Kiwia·Ali Dehghantanha·Kim-Kwang Raymond Choo·Jim Slaughter
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Abstract

Malware such as banking Trojans are popular with financially-motivated cybercriminals. Detection of banking Trojans remains a challenging task, due to the constant evolution of techniques used to obfuscate and circumvent existing detection and security solutions. Having a malware taxonomy can facilitate the design of mitigation strategies such as those based on evolutionary computational intelligence. Specifically, in this paper, we propose a cyber kill chain based taxonomy of banking Trojans features. This threat intelligence based taxonomy providing a stage-by-stage operational understanding of a cyber-attack, can be highly beneficial to security practitioners and the design of evolutionary computational intelligence on Trojans detection and mitigation strategy. The proposed taxonomy is validated by using a real-world dataset of 127 banking Trojans collected from December 2014 to January 2016 by a major UK-based financial organisation.

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Dennis Kiwia, Ali Dehghantanha, Kim-Kwang Raymond Choo, Jim Slaughter. 2018-07-27. A Cyber Kill Chain Based Taxonomy of Banking Trojans for Evolutionary Computational Intelligence. https://doi.org/10.1016/j.jocs.2017.10.020

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