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

arXiv: https://arxiv.org/abs/1807.10446 · HTML: https://mlsanity.com/paper/1807.10446/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jul 2018.

## Built on by (most cited first, 1 of 1)

- [Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey](https://mlsanity.com/paper/2102.07969/) (2021)

## Abstract (arXiv)

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.