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Adaptive Trust Management for Soft Authentication and Progressive Authorization Relying on Physical Layer Attributes

机译:软认证和逐步授权的自适应信任管理依赖于物理层属性

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摘要

Conventional authentication mechanisms routinely used for validating communication devices are facing significant challenges. This is mainly due to their reliance on both 'spoofable' digital credentials and static binary characteristic, and inevitable misdetection in physical layer authentication using time-varying attributes, leading to the cascading risks of security and trust. To circumvent these impediments, we develop an adaptive trust management based soft authentication and progressive authorization scheme by intelligently exploiting the time-varying communication link-related attribute of the transmitter to improve wireless security. First of all, the trust relationship between the transmitter and receiver is established based on the evaluation of selected physical layer attribute for fast authentication and multiple-level authorization. Through the designed trust model, the transmitter is authorized by the specific level of services/resources corresponding to its trust level, so that soft security is achieved. To dynamically update the trust level of the transmitter, we propose an online conformal prediction-based adaptive trust adjustment algorithm relying on the real-time validation of its attribute estimates at the receiver, thus resulting in progressive authorization. The performance of our scheme is theoretically analyzed in terms of its individual risk and individual satisfaction. Our simulation results demonstrate that the proposed scheme significantly improves the security performance and robustness in time-varying environments, and performs better than the static binary authentication scheme and existing physical layer authentication benchmarker.
机译:常规用于验证通信设备的传统认证机制面临着重大挑战。这主要是由于它们依赖于“可吸引”的数字凭证和静态二进制特性以及使用时变的属性在物理层认证中不可避免的误解,从而导致安全和信任的级联风险。为了规避这些障碍,我们通过智能利用发射机的时变通信链路相关属性来开发基于自适应信任管理的软认证和逐行授权方案来提高无线安全性。首先,基于对快速认证和多级授权的所选物理层属性的评估来建立发射器和接收器之间的信任关系。通过所设计的信任模型,发送器由对应于其信任级别的特定服务/资源级别授权,从而实现了软安全性。为了动态更新发射机的信任级别,我们提出了一种在线依赖于接收器的其属性估计的基于在线的基于预测的自适应信任调整算法,从而导致逐步授权。在理论上,我们的计划的表现就是其个人风险和个人满意度。我们的仿真结果表明,该方案显着提高了时变环境中的安全性能和鲁棒性,并且比静态二进制认证方案和现有物理层认证基准器更好地执行。

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