Cyber-physical Defense for Heterogeneous Multi-agent Systems Against Exponentially Unbounded Attacks on Signed Digraphs
Yichao Wang, Mohamadamin Rajabinezhad, Yi Zhang, and Shan Zuo

TL;DR
This paper introduces a distributed bi-layer defense framework for heterogeneous multi-agent systems to resist exponentially unbounded false data injection attacks on both cyber and physical layers, ensuring system stability.
Contribution
It proposes a novel attack-resilient bi-layer control and estimation scheme specifically designed to counter EU-FDI attacks on signed digraph-based multi-agent systems.
Findings
Guarantees UUB estimation of leaders' states under attacks
Ensures UUB consensus and stability despite EU-FDI attacks
Validated through a comparative case study demonstrating enhanced resilience
Abstract
Cyber-physical systems (CPSs) are subjected to attacks on both cyber and physical spaces. In reality, the attackers could launch exponentially unbounded false data injection (EU-FDI) attacks, which are more destructive and could lead to the system's collapse or instability. Existing literature generally addresses bounded attack signals and/or bounded-first-order-derivative attack signals, which exposes the CPSs to significant threats. In contrast, this paper proposes a fully-distributed attack-resilient bi-layer defense framework to address the bipartite output containment problem for heterogeneous multi-agent systems on signed digraphs, in the presence of EU-FDI attacks on both cyber-physical layer (CPL) and observer layer (OL). First, we design attack-resilient dynamic compensators that utilize data communicated on the OL to estimate the convex combinations of the states and negative…
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Taxonomy
TopicsInformation and Cyber Security · Smart Grid Security and Resilience
