A Cyber Kill Chain Based Taxonomy of Banking Trojans for Evolutionary Computational Intelligence
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 facili...
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| creator | Kiwia, Dennis Dehghantanha, Ali Kim-Kwang, Raymond Choo Slaughter, Jim |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.1807.10446 |
| format | Article |
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| ispartof | arXiv.org, 2018-07 |
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| source | Freely Accessible Journals; arXiv.org |
| subjects | Artificial intelligence Banking Chains Computation Computer Science - Cryptography and Security Cybersecurity Evolution Intelligence gathering Malware Taxonomy Threat evaluation |
| title | A Cyber Kill Chain Based Taxonomy of Banking Trojans for Evolutionary Computational Intelligence |
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