Abstract
Rapid advancements in digital infrastructure and decentralized networks have fundamentally altered the nature of contemporary cybercrime, making comprehensive empirical and technical analysis more crucial than ever. To address these challenges, this editorial summarizes the research contributions featured in this issue of the International Jour nal of Cybersecurity Intelligence and Cybercrime. The included papers examine the structural on-chain dynamics of sanctioned pig-butchering operations, the representational production and AI-driven evolution of the “Nigerian scam” label, the critical transaction-authorization factors driving losses in crypto airdrop schemes, and the optimization of sentence-transformer models for automated Host Intrusion Detection System (HIDS) alert enrichment. Together, these works emphasize that countering modern cyber threats requires combining blockchain forensics, qualitative discourse analysis, and machine-learning-assisted threat triage. This issue highlights selected papers from the winners of the student paper competition at the 2026 International White Hat Conference.
Recommended Citation
Parti,
K.
,
Choi,
S.
&
Dearden,
T.
(2026).
Analyzing Modern Scam Typologies: From Pig-Butchering and Nigerian Advance-Fee Fraud to Crypto Airdrop Schemes.
International Journal of Cybersecurity Intelligence & Cybercrime, 9(2), - .
DOI: https://doi.org/10.52306/2578-3289.1248
Available at:
https://vc.bridgew.edu/ijcic/vol9/iss2/1
Copyright © 2026 Katalin Parti, Sinyong Choi, and Thomas Dearden
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