Blockchain data mining with graph learning: A survey

Y Qi, J Wu, H Xu, M Guizani - IEEE Transactions on Pattern …, 2023 - ieeexplore.ieee.org
Blockchain data mining has the potential to reveal the operational status and behavioral
patterns of anonymous participants in blockchain systems, thus providing valuable insights …

[HTML][HTML] Synergy of blockchain technology and data mining techniques for anomaly detection

A Kamišalić, R Kramberger, I Fister Jr - Applied Sciences, 2021 - mdpi.com
Blockchain and Data Mining are not simply buzzwords, but rather concepts that are playing
an important role in the modern Information Technology (IT) revolution. Blockchain has …

Secure smart contracts for cloud‐based manufacturing using Ethereum blockchain

A Kumar, K Abhishek, P Nerurkar… - Transactions on …, 2022 - Wiley Online Library
Past international trade practices have been associated with opaque information flows that
have hindered traceability and created hurdles in hassle‐free trade. Blockchain and allied …

Supervised learning model for identifying illegal activities in Bitcoin

P Nerurkar, S Bhirud, D Patel, R Ludinard, Y Busnel… - Applied …, 2021 - Springer
Since its inception in 2009, Bitcoin is mired in controversies for providing a haven for illegal
activities. Several types of illicit users hide behind the blanket of anonymity. Uncovering …

Anomaly detection in blockchain using network representation and machine learning

K Martin, M Rahouti, M Ayyash… - Security and Privacy, 2022 - Wiley Online Library
The vast majority of digital currency transactions rely on a blockchain framework to ensure
quick and accurate execution. As such, understanding how a blockchain works is vital to …

Ensemble deep learning-based prediction of fraudulent cryptocurrency transactions

Q Umer, JW Li, MR Ashraf, RN Bashir, H Ghous - IEEE Access, 2023 - ieeexplore.ieee.org
Cryptocurrency has emerged as a decentralized transaction to overcome the problems of
the centralized transaction system. Although it has become a popular trend in online …

Graph deep learning based anomaly detection in ethereum blockchain network

V Patel, L Pan, S Rajasegarar - International conference on network and …, 2020 - Springer
Ethereum is one of the largest blockchain networks in the world. Its feature of smart contracts
is unique among the other crypto-currencies and gained wider attention. However, smart …

Illegal activity detection on bitcoin transaction using deep learning

P Nerurkar - Soft Computing, 2023 - Springer
Forensic investigations increasingly leverage artificial intelligence (AI/ML) to identify illegal
activities on bitcoin. bitcoin transactions have an original graph (network) structure, which is …

Securing logistics system and supply chain using Blockchain

A Kumar, K Abhishek… - … Stochastic Models in …, 2021 - Wiley Online Library
Past international trade practices have been associated with opaque information flows that
have hindered traceability and created hurdles in hassle‐free trade. Blockchain and allied …

Detecting illicit entities in bitcoin using supervised learning of ensemble decision trees

P Nerurkar, Y Busnel, R Ludinard, K Shah… - proceedings of the 10th …, 2020 - dl.acm.org
Since its inception in 2009, Bitcoin has been mired in controversies for providing a haven for
illegal activities. Several types of illicit users hide behind the blanket of anonymity …