Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability

Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability

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The inherent dynamism of recent technological advancements in intelligent vehicles has seen multitudes of noteworthy security concerns regarding interactions and data.As future mobility embraces the concept of vehicles-to-everything, it exacerbates security complexities and challenges concerning dynamism, adaptiveness, and self-awareness.It calls for a transition from security measures relying on static approaches and implementations.

Therefore, to address this transition, this work proposes a hierarchical self-aware security architecture that effectively establishes lightemupsequences.com accountability at the system level and further illustrates why such a proposed security architecture is relevant to intelligent vehicles.The article provides (1) a comprehensive understanding of the self-aware security concept, with emphasis on its hierarchical security architecture that enables system-level accountability, 30x24x24 wall cabinet and (2) a deep dive into each layer supported by algorithms and a security-specific in-vehicle black box with external virtual security operation center (VSOC) interactions.In contrast to the present in-vehicle security measures, this architecture introduces characteristics and properties that enact self-awareness through system-level accountability.

It implements hierarchical layers that enable real-time monitoring, analysis, decision-making, and in-vehicle and remote site integration regarding security-related decisions and activities.