Business Email Compromise: A Comprehensive Taxonomy for Detection and Prevention

Business Email Compromise (BEC) is a sophisticated and increasingly prevalent form of cyber fraud that targets businesses and individuals to gain financial benefits and access sensitive data. BEC fraud involves various strategies such as impersonation, account compromise, and social engineering, making them challenging to detect and prevent. Despite numerous solutions developed to combat BEC, the threat continues to evolve. In this paper, we present a comprehensive taxonomy of BEC, categorising its various forms, detection techniques, and countermeasures. The proposed taxonomy seeks to deepen the comprehension of BEC fraud and establish a comprehensive framework for advancing research and practical applications, facilitating the development of more effective defence mechanisms against BEC fraud.

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Publication Details

Published
2024-08-14
DOI
https://doi.org/10.1145/3700706.3700714
Citations
1
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.78

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article

Business Email Compromise: A Comprehensive Taxonomy for Detection and Prevention

Amirah Almutairi, BooJoong Kang, Nawfal F. Fadhel
1 citations
Spam and Phishing Detection
0.78
article

Business Email Compromise: A Comprehensive Taxonomy for Detection and Prevention

Amirah Almutairi, BooJoong Kang, Nawfal F. Fadhel
article en
1 citations

Abstract

Business Email Compromise (BEC) is a sophisticated and increasingly prevalent form of cyber fraud that targets businesses and individuals to gain financial benefits and access sensitive data. BEC fraud involves various strategies such as impersonation, account compromise, and social engineering, making them challenging to detect and prevent. Despite numerous solutions developed to combat BEC, the threat continues to evolve. In this paper, we present a comprehensive taxonomy of BEC, categorising its various forms, detection techniques, and countermeasures. The proposed taxonomy seeks to deepen the comprehension of BEC fraud and establish a comprehensive framework for advancing research and practical applications, facilitating the development of more effective defence mechanisms against BEC fraud.

Shaqra University (SA), University of Southampton (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 17%
Spam and Phishing Detection
0.78
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Business Email Compromise: A Comprehensive Taxonomy for Detection and Prevention — Amirah Almutairi, BooJoong Kang, et al. · (2024) | TGRS Research Map | TGRS