Self-Healing Secure Blockchain Framework in Microgrids
Suman Rath, Lam Duc Nguyen, Subham Sahoo, Petar Popovski

TL;DR
This paper introduces a self-healing, secure blockchain framework for microgrids that detects and recovers from stealth attacks, malware, and communication delays using physics-informed methods and predictive control.
Contribution
It presents a novel integrated approach combining blockchain security, physics-informed malware detection, and self-healing recovery for microgrid cyber-physical systems.
Findings
Enhanced detection of stealth consensus attacks
Effective recovery of compromised nodes
Robustness against communication delays and DoS attacks
Abstract
Blockchain has recently been depicted as a secure protocol for information exchange in cyber-physical microgrids. However, it is still found vulnerable to consensus manipulation attacks. These stealth attacks are often difficult to detect as they use kernel-level access to mask their actions. In this paper, we firstly build a trusted and secured peer-to-peer network mechanism for physical DC microgrids' validation of transactions over Distributed Ledger. Secondly, we leverage from a physics-informed approach for detecting malware-infected nodes and then recovering from stealth attacks using a self-healing recovery scheme augmented into the microgrid Blockchain network. This scheme allows compromised nodes to adapt to a reconstructed trustworthy signal in a multi-hop manner using corresponding measurements from the reliable nodes in the network. Additionally, recognizing the possible…
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Taxonomy
TopicsSmart Grid Security and Resilience · Blockchain Technology Applications and Security · Age of Information Optimization
