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@article{185804,
        author = {Abhishek A. Patil and Bhagyashala A. Jadhawar},
        title = {Blockchain-Assisted Secure Framework for Intelligent Transportation Systems: Enhancing V2V Energy Trading with Hybrid CNN-LSTM Models},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {12},
        number = {no},
        pages = {15-27},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185804},
        abstract = {The increasing adoption of electric vehicles (EVs) has necessitated the development of secure and efficient energy management systems to address the challenges in energy trading between vehicles (V2V). This study introduced a Blockchain-Assisted Secure Framework for Intelligent Transportation Systems (BASF-ITS) designed to enhance V2V energy trading by integrating blockchain technology and machine learning. The framework addresses security vulnerabilities, lack of standardization, and transaction processing inefficiencies through the use of blockchain for decentralized, immutable transaction records and a hybrid CNN-LSTM model for real-time anomaly detection. The methodology involved implementing the framework in a simulated environment using Hyperledger Fabric for blockchain execution and TensorFlow for machine-learning model development. Evaluated using the VANET dataset, BASF-ITS demonstrated a high accuracy (99.30%) in anomaly detection and robust performance in handling large-scale transactions. A comparative analysis with baseline models highlighted the framework's superior performance in terms of accuracy, AUC-ROC, precision, recall, and computational efficiency. These results underscore the potential of BASF-ITS to significantly enhance the security and efficiency of intelligent transportation systems, particularly in facilitating secure and transparent V2V energy trading, while also highlighting areas for future research and development in terms of scalability and real-world implementation.},
        keywords = {Blockchain Technology, Energy Trading, Electric Vehicles, Blockchain Consensus Mechanisms, Auction Mechanisms, Smart Contracts.},
        month = {},
        }