International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
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Iterative Method For Blockchain-Based Qos-Aware Iov Network Using Ai-Driven Anomaly Detection And Dynamic Network Slicing
Author(s) | Pranjali Ulhe, Suresh Asole |
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Country | India |
Abstract | The rapid deployment of 5G networks necessitates the development of secure, scalable, and efficient Internet of Vehicles (IoV) systems. Existing IoV solutions often struggle with real-time threat detection, scalability, efficient resource allocation, and privacy preservation. This work proposes an integrated framework leveraging blockchain technology, AI-driven anomaly detection, dynamic network slicing, and secure multi-party computations. We introduce AI-Driven Anomaly Detection and Mitigation (ADAM) to identify and respond to security threats in real-time. Utilizing Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), ADAM analyzes network traffic data to detect anomalies with a detection accuracy of 95%, a false positive rate of 2%, and an average response timestamp of 50 ms. To tackle scalability and latency issues inherent in traditional blockchain systems, we propose Edge-Based Blockchain Sharding (EBBS).The innovative use of a modified Proof-of-Stake (PoS) mechanism tailored for edge environments further enhances the scalability of the IoV system. AI-Enabled Dynamic Network Slicing (ADNS) is implemented to optimize resource allocation based on real-time traffic demands and QoS requirements. Finally, we incorporate Secure Multi-Party Computation for Collaborative Data Processing (SMPC-CDP) to enable secure, privacy-preserving data analysis among IoV entities ensuring privacy with a computation overhead of 20%, and data utility preservation of 95%. |
Keywords | IoV, Blockchain, AI, Network Slicing, Anomaly Detection |
Field | Computer > Network / Security |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-12-15 |
Cite This | Iterative Method For Blockchain-Based Qos-Aware Iov Network Using Ai-Driven Anomaly Detection And Dynamic Network Slicing - Pranjali Ulhe, Suresh Asole - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.33108 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.33108 |
Short DOI | https://doi.org/g8wkjq |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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