| 摘要: |
| A network of observers is considered, where through asynchronous (with bounded delay) communications, they cooperatively
estimate the states of a linear time-invariant (LTI) system. In such a setting, a new type of adversary might affect the observation
process by impersonating the identity of the regular node, which is a violation of communication authenticity. These adversaries
also inherit the capabilities of Byzantine nodes, making them more powerful threats called smart spoofers. We show how
asynchronous networks are vulnerable to smart spoofing attack. In the estimation scheme considered in this paper, information
flows from the sets of source nodes, which can detect a portion of the state variables each, to the other follower nodes. The
regular nodes, to avoid being misguided by the threats, distributively filter the extreme values received from the nodes in their
neighborhood. Topological conditions based on strong robustness are proposed to guarantee the convergence. Two simulation
scenarios are provided to verify the results. |
| 关键词: Cyber-physical systems · Smart spoofing · Distributed resilient algorithm · Secure observers |
| DOI：https://doi.org/10.1007/s11768-022-00118-7 |
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| 基金项目: |
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| Cooperative distributed state estimation: resilient topologies against smart spoofers |
| Mostafa Safi1 |
| (1
Amirkabir University of Technology, Hafez, Tehran 424, Iran) |
| Abstract: |
| A network of observers is considered, where through asynchronous (with bounded delay) communications, they cooperatively
estimate the states of a linear time-invariant (LTI) system. In such a setting, a new type of adversary might affect the observation
process by impersonating the identity of the regular node, which is a violation of communication authenticity. These adversaries
also inherit the capabilities of Byzantine nodes, making them more powerful threats called smart spoofers. We show how
asynchronous networks are vulnerable to smart spoofing attack. In the estimation scheme considered in this paper, information
flows from the sets of source nodes, which can detect a portion of the state variables each, to the other follower nodes. The
regular nodes, to avoid being misguided by the threats, distributively filter the extreme values received from the nodes in their
neighborhood. Topological conditions based on strong robustness are proposed to guarantee the convergence. Two simulation
scenarios are provided to verify the results. |
| Key words: Cyber-physical systems · Smart spoofing · Distributed resilient algorithm · Secure observers |
