Secure Dissemination of Video Data in Vehicle-to-Vehicle Systems

Chenyang Qu, D. Ulybyshev, B. Bhargava, R. Ranchal, L. Lilien
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引用次数: 6

Abstract

Data exchange between vehicles and base stations may contain information on traffic accidents, traffic jams, road constructions etc. Risks to data privacy in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) systems need be minimized. We present a policybased solution that provides controlled and privacypreserving dissemination of video data in V2V and V2I. This policy-based solution relies on Active Bundle (AB), which incorporates policy enforcement mechanism and policies that describe access to video data. The usage of ABs ensures privacy of actors during disclosure of captured video in untrusted environment. Face recognition algorithm is used to identify sensitive data in videos and it is used in policies. We use four algorithms to process images that are captured by a vehicle's camera.
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车对车系统中视频数据的安全传播
车辆与基站之间的数据交换可能包含交通事故、交通堵塞、道路建设等信息。车辆对车辆(V2V)和车辆对基础设施(V2I)系统中的数据隐私风险需要最小化。我们提出了一个基于策略的解决方案,该解决方案提供了V2V和V2I中视频数据的受控和隐私保护传播。这种基于策略的解决方案依赖于Active Bundle (AB),它结合了策略实施机制和描述视频数据访问的策略。ABs的使用确保了参与者在不可信环境中披露捕获视频时的隐私。人脸识别算法用于识别视频中的敏感数据,并应用于策略中。我们使用四种算法来处理车辆摄像头拍摄的图像。
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