Vehicle-to-vehicle (V2V) communication applications face significant challenges to security and privacy since all types of possible breaches are common in connected and autonomous vehicles (CAVs) networks. As an inheritance from conventional wireless services, illegal eavesdropping is one of the main threats to Vehicle-to-vehicle (V2V) communications. In our work, the anti-eavesdropping scheme in CAVs networks is developed through the use of cognitive risk control (CRC)-based vehicular joint radar-communication (JRC) system. In particular, the supplement of off-board measurements acquired using V2V links to the perceptual information has presented the potential to enhance the traffic target positioning precision. Then, transmission power control is performed utilizing reinforcement learning, the result of which is determined by a task switcher. Based on the threat evaluation, a multi-armed bandit (MAB) problem is designed to implement the secret key selection procedure when it is needed. Numerical experiments have presented that the developed approach has anticipated performance in terms of some risk assessment indicators.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Cognitive Risk Control for Anti-Eavesdropping in Connected and Autonomous Vehicles Network


    Contributors:
    Yao, Yu (author) / Zhao, Junhui (author) / Li, Zeqing (author) / Cheng, Xu (author) / Wu, Lenan (author) / Li, Xuan (author)


    Publication date :

    2022-09-01


    Size :

    491513 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Connected and autonomous vehicles: A cyber-risk classification framework

    Sheehan, Barry / Murphy, Finbarr / Mullins, Martin et al. | Elsevier | 2018




    BIOMETRIC AUTHENTICATION FOR CONNECTED VEHICLES INCLUDING AUTONOMOUS VEHICLES

    LOPEZ-HINOJOSA BRENNAN T / LOPEZ KERMIT D | European Patent Office | 2018

    Free access

    AUTONOMOUS INTERSECTION WARNING SYSTEM FOR CONNECTED VEHICLES

    GARRETT CALEB / EDUARDO JOSEPH ALI | European Patent Office | 2019

    Free access