Secure And Failsafe Ota Software Updates For Vehicles

A novel three-layer public-key based authentication architecture for OTA software updates for connected and autonomous vehicles.

Secure and failsafe

Using three-layer public-key based authentication, the system guarantees proper authentication of any requested transactions.

QoS aware

Our solution offers zero service interruptions in high traffic loads and server failure scenarios using our novel network QoS-aware approach.

Service Availability

Zero interruption - Service remains uninterrupted during high traffic loads or if any server of the chain gets affected or fails

Scalable

Our developed prototype ensures scalability without compromising service quality.

Modern connected and autonomous vehicles receive updates such as improved software and security patches regularly over-the-air (OTA). Current approaches for performing these updates have many disadvantages including being vulnerable to unauthorized access, having slow response time during node failures, and not addressing network QoS scenarios. Our solution is a novel three-layer public-key based authentication architecture for OTA software updates that guarantees proper authentication of the transaction, zero service interruptions even during high traffic loads and server failures, and awareness of current network QoS metrics.

  1. Sadia Yeasmin, Anwar Haque, Amir Sayegh, "A novel and failsafe blockchain framework for secure OTA updates in connected autonomous vehicles", Elsevier Vehicular Communications, Volume 43,2023, 100658, ISSN 2214-2096, https://doi.org/10.1016/j.vehcom.2023.100658.

  2. S. Yeasmin and A. Haque, "Collaborative DDoS Attack Defense for OTA Updates in CAVs using Hyperledger Fabric Blockchain," 2023 International Conference on Smart Applications, Communications and Networking (SmartNets), Istanbul, Turkey, 2023, pp. 1-6, doi: 10.1109/SmartNets58706.2023.10215881.

  3. S. Yeasmin and A. Haque, "A Multi-Factor Authenticated Blockchain-Based OTA Update Framework for Connected Autonomous Vehicles," 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Norman, OK, USA, 2021, pp. 1-6, doi: 10.1109/VTC2021-Fall52928.2021.9625372.

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