arXiv (All)
open access
DynaTrust-VVC: Directional Physics-Informed Trust-Based Detection and Mitigation for Cyber-Resilient Multi-Agent Volt--VAR Control
Distributed Volt--VAR control relies on voltage measurements and is therefore vulnerable to false-data injection. Neighbor corroboration can distinguish an isolated corrupted measurement from a physical disturbance, but coordinated agents can falsely corroborate one another. This paper proposes Dyna
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Overthink-Triggered Slowdown Attacks on LVLM-Based Robotic Systems#332470
- Synthetic false data injection-inspired perturbation framework for power grid attack detection using graph neural networks and deep learning models#1169163
- Secure Decentralized Federated Learning via Gossip and Virtual Voting#353024
- On the Impact of Synchronization Attacks on Distributed and Cooperative Control in Microgrid Systems#16738
- When the World Lies: Backdoor Attacks on Latent World Models for Downstream Control#1109740
Record · ID 1077500
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive