Blockchain Based Platform
Blockchain-based platforms are being developed to enhance the security, transparency, and efficiency of various applications, primarily by leveraging the decentralized and immutable nature of blockchain technology. Current research focuses on integrating advanced machine learning models, such as graph neural networks, transformers, and recurrent neural networks, to improve tasks like fraud detection, financial prediction, and secure data sharing in areas like healthcare and IoT. This interdisciplinary field is significant because it addresses critical challenges in data privacy, security, and trust, with potential applications ranging from secure data management in smart cities to verifiable AI model deployment.
Papers
The Internet of Responsibilities-Connecting Human Responsibilities using Big Data and Blockchain
Xuejiao Tang, Jiong Qiu, Wenbin Zhang, Ibrahim Toure, Mingli Zhang, Enza Messina, Xueping Xie, Xuebing Wang, Sheng Yu
Dynamic Data-Driven Digital Twins for Blockchain Systems
Georgios Diamantopoulos, Nikos Tziritas, Rami Bahsoon, Georgios Theodoropoulos
healthAIChain: Improving security and safety using Blockchain Technology applications in AI-based healthcare systems
Naresh Kshetri, James Hutson, Revathy G
Architecture of Data Anomaly Detection-Enhanced Decentralized Expert System for Early-Stage Alzheimer's Disease Prediction
Stefan Kambiz Behfar, Qumars Behfar, Marzie Hosseinpour