Blockchain and AI Integration for Secure Data Sharing in Smart Cities
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Abstract
Smart cities generate vast amounts of data that require secure and efficient management. This paper presents a hybrid framework combining blockchain technology with artificial intelligence to ensure secure data sharing and analysis. Blockchain provides decentralized security, while AI enables intelligent decision-making. The proposed model enhances data integrity, transparency, and system efficiency. Case studies illustrate its application in traffic management and energy distribution systems.
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Anand, M., Velu, A., & Whig, P. (2022). Prediction of loan behaviour with machine learning models for secure banking. Journal of Computer Science and Engineering (JCSE), 3(1), 1–13.
Jiwani, N., Gupta, K., & Whig, P. (2021). Novel healthcare framework for cardiac arrest with the application of AI using ANN. In Proceedings of the 5th International Conference on Information Systems and Computer Engineering.
Nadikattu, R. R., Mohammad, S. M., & Whig, P. (2020). Novel economical social distancing smart device for COVID-19. International Journal of Electrical Engineering and Technology (IJEET).
Jupalle, H., Kouser, S., Bhatia, A. B., Alam, N., Nadikattu, R. R., & Whig, P. (2022). Automation of human behaviors and its prediction using machine learning. Microsystem Technologies, 28(8), 1879–1887.
Whig, P., Kasula, B. Y., Yathiraju, N., Jain, A., & Sharma, S. (n.d.). Bone cancer classification and detection using machine learning technique. In Diagnosing musculoskeletal conditions using artificial intelligence and machine learning.