Graph Neural Networks (GNNs) have emerged as an effective approach for blockchain fraud detection because they can model complex relationships among transactions and participating entities. However, existing GNN-based approaches remain limited by vulnerability to adversarial manipulation, limited explainability, contin...
O. Ojerinde, Ramatu Abubakar, Ajagun Abimbola Susan et al.· International Journal of Dat...· 0 citations
The increasing use of audio recordings in criminal investigations has created a growing demand for intelligent forensic audio analysis systems capable of recovering intelligible speech from acoustically challenging environments. Forensic recordings frequently contain overlapping speakers, background conversations, and...
O. Ojerinde, R. Mudasiru, Ramatu Abubakar et al.· Nature Journal of Emerging S...· 0 citations
Blockchain technology has revolutionized digital financial systems through decentralized, transparent, and secure transactions. However, the increasing sophistication of blockchain systems has coincided with the emergence of complex illicit activities, including ransomware transactions, Ponzi schemes, phishing, and mon...
O. Ojerinde, Ramatu Abubakar, B. Alenoghena et al.· Journal of Future Artificial...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.