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An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response From Privacy to Workflow Integrity: Communication-Graph Metadata in Autonomous Agent Interoperability Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense QSignAI: Quantum-Randomness-Seeded Identity Signatures at the Intersection of AI for Science and Science for AI A Standardized Ontology for Intent-Based Security Management in Autonomous Networks Code as a Weapon: A Consensus-Labeled Prompt Bank for Measuring Coding-Model Compliance with Malicious-Code Requests Cordyceps: Covert Control Attacks on LLMs via Data Poisoning SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT? 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Testbed for Functional Safety-Relevant Wireless Communication Based on IO-Link Wireless and 5G
Thomas R. Doebbert, Henry Beuster, Florian Fischer, Dominik Merl · 2022-12-30 · via cs.CR updates on arXiv.org

In the field of industrial production automation, wireless networks support highly flexible manufacturing processes and enable technologies to set-up new production chains and future software businesses. The IO-Link Wireless (IOLW) protocol is an already established energy-efficient and cost-effective communication standard for smart sensor devices on the industrial shop floor, whereas the mobile communication standard 5G will be mainly applied for medium and long-range wireless communication applications promising low latency times and high reliability. Therefore, 5G with the coming enhancement of deterministic ultra-Reliable Low-Latency Communication (uRLLC) is combined with the robustness and low-latency performance characteristics of IO-Link Wireless. Features of both technologies are highly beneficial to realize even highly demanding safety-related applications. The presented testbed shall qualify wireless functional safety communication with respect to its Residual Error Probability (REP) and quantify the Probability of Failure per Hour (PFH).

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