| Financial cybercrime: A comprehensive survey of deep learning approaches to tackle the evolving financial crime landscape J Nicholls, A Kuppa, NA Le-Khac Ieee Access 9, 163965-163986, 2021 | 269 | 2021 |
| Fraudlens: Graph structural learning for bitcoin illicit activity identification J Nicholls, A Kuppa, NA Le-Khac Proceedings of the 39th Annual Computer Security Applications Conference …, 2023 | 19 | 2023 |
| Enhancing illicit activity detection using xai: A multimodal graph-llm framework J Nicholls, A Kuppa, NA Le-Khac arXiv preprint arXiv:2310.13787, 2023 | 12 | 2023 |
| SoK: The next phase of identifying illicit activity in Bitcoin J Nicholls, A Kuppa, NA Le-Khac 2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-10, 2023 | 8 | 2023 |
| The next phase of identifying illicit activity in Bitcoin J Nicholls, A Kuppa, NA Le‐Khac International Journal of Network Management 34 (5), e2259, 2024 | 6 | 2024 |
| A simplistic machine learning approach to contact tracing C Gómez, N Belton, B Quach, J Nicholls, D Anand arXiv preprint arXiv:2012.05940, 2020 | 6 | 2020 |
| Financial cybercrime: A comprehensive survey of deep learning approaches to tackle the evolving financial crime landscape. IEEE Access 9, 163965–163986 (2021) J Nicholls, A Kuppa, NA Le-Khac | 5 | 2021 |
| Manipulating Prompts and Retrieval-Augmented Generation for LLM Service Providers A Kuppa, J Nicholls, NA Le-Khac 21st International Conference on Security and Cryptography (SECRYPT) 1, 777-785, 2024 | 4 | 2024 |
| JoinDetect: A Data-Led Machine Learning Approach to Detection of Coinjoin Transactions JW O'Meara, M Taneja, J Nicholls, N Kothale, S Flinter, AD Jurcut Proceedings of the 2024 International Conference on Information Technology …, 2024 | 2 | 2024 |
| Natural Language Processing and Data Analysis for Cybercriminal Attribution: Conti Ransomware Chats E Stratton, J Nicholls, NA Le-Khac International Conference on Computational Intelligence in Engineering …, 2025 | 1 | 2025 |
| Large Language Model XAI approach for illicit activity Investigation in Bitcoin J Nicholls, A Kuppa, NA Le-Khac Neural Computing and Applications, 1-13, 2024 | 1 | 2024 |
| Transaction analysis and visualisation M Taneja, J Nicholls, J Conway, N Kothale, S Holland, SP FLINTER, ... US Patent App. 18/748,018, 2024 | | 2024 |
| Predicting fraudulent transactions M Taneja, J Nicholls, J Conway, N Kothale, S Holland, W Moran US Patent App. 18/747,982, 2024 | | 2024 |
| Predicting whether a transaction of a digital currency stored in a blockchain is fraudulent M Taneja, J Nicholls, J Conway, N Kothale, S Holland, SP FLINTER, ... US Patent App. 18/747,992, 2024 | | 2024 |
| Deep Graph Networks for Analysing Illicit Activity in Cryptocurrency to Combat Financial Cybercrime J Nicholls University College Dublin. School of Computer Science, 2024 | | 2024 |
| Understanding and Mitigating Advanced Ransomware Attacks: Lessons from the HSE Ireland Incident S Bibbs, M Kajzer, P Darcy, A Kuppa, KNA Le, J Carthy, J Nicholls Vietnam-Korea University of Information and Communication Technology, 2024 | | 2024 |
| Climate Learning Insight Mock COPs J Nicholls, C Straatman | | 2023 |
Nhien-An Le-KhacAssociate Professor of Digital Forensics and Cyber Security, University College DublinVerified email at ucd.ie
