arXiv:2601.23147v2 Announce Type: replace Abstract: The integrity of time in distributed Internet of Things (IoT) devices is crucial for reliable operation in energy cyber-physical systems, such as smart grids and microgrids. However, IoT systems are vulnerable to clock drift, time-synchronization manipulation, and timestamp discontinuities, such as the Year 2038 (Y2K38) Unix overflow, all of which disrupt temporal ordering. Conventional anomaly-detection models, which assume reliable timestamps, fail to capture temporal inconsistencies. This paper introduces STGAT (Spatio-Temporal Graph Atten
The increasing complexity and interconnectedness of energy IoT systems, coupled with the approaching Y2K38 deadline, necessitate robust solutions for time integrity and synchronization.
Reliable time integrity is foundational for the secure and efficient operation of critical energy infrastructure, directly impacting grid stability and resilience against cyber threats.
This paper introduces a novel approach (STGAT) for detecting temporal inconsistencies in IoT systems, enhancing the resilience and trustworthiness of energy grids against previously unaddressed vulnerabilities.
- · Energy IoT providers
- · Smart grid operators
- · Critical infrastructure security firms
- · Cyber-physical systems researchers
- · Malicious actors targeting time synchronization
- · Legacy anomaly detection systems
- · Energy providers with vulnerable IoT infrastructure
Enhanced security and reliability of energy cyber-physical systems.
Increased investment in resilient timing solutions and associated hardware/software for critical infrastructure.
Potential for new regulatory standards or certifications around time integrity in industrial IoT deployments.
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