A Collaborative Intrusion Detection Approach Using Blockchain for Multimicrogrid Systems

A Collaborative Intrusion Detection Approach Using Blockchain for Multimicrogrid Systems
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使用区块链进行多微电网系统的协作入侵检测方法

DOI:
10.1109/tsmc.2019.2911548
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发表时间:
2019-04
期刊:
IEEE Transactions on Systems, Man, and Cybernetics: Systems
影响因子:
--
通讯作者:
Junping Xinjue
Junping Xinjue
中科院分区:
其他
文献类型:
--
作者:
Hu Bowen;Zhou Chunjie;Tian Yuchu;Qin Yuanqing;Junping Xinjue

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多微电网(MMG)系统在现有电网向智能电网的转型中发挥着越来越重要的作用。然而,MMG的开放和分布式连接使系统暴露在各种网络攻击中,这些攻击可能会导致严重的故障或物理损失,如供电中断和人员伤亡。因此,确保MMG的安全是至关重要的。针对这一问题,提出了一种基于区块链的智能电网MMG系统协同入侵检测(CID)方法。由于区块链的一致性机制,该方法在设计时不需要可信机构或中心服务器,同时以协作的方式提高入侵检测的准确性。它配备了一种结合周期性和触发模式的提案生成方法,以生成CID的检测目标,即提案。从生成的提案和MMG的关联模型中,使用协商机制实现CID。CID的最终检测结果依次存储在区块链上。激励机制的使用激励单个微电网参与协商一致。通过对MMG系统的实例研究,验证了该方法的有效性。
Multimicrogrid (MMG) systems have the potential to play an increasingly important role in the transformation of existing power grid to smart grid. However, the open and distributed connectivity of MMGs exposes the systems into various cyber-attacks, which may cause serious failures or physical damages, such as power supply interruption and human casualties. Therefore, ensuring the security of MMGs is of paramount importance. To address this issue, a new collaborative intrusion detection (CID) approach using blockchain is proposed in this paper for MMG systems in smart grid. Due to the consensus mechanism of blockchain, the approach is designed without the need of a trusted authority or central server while improving the accuracy of intrusion detection in a collaborative way. It is equipped with a proposal generation method that combines periodic and trigger patterns to generate the detection target of CID, i.e., a proposal. From the generated proposals together with the correlation model of MMGs, a CID is achieved by using the consensus mechanism. The final detection results of CID are stored on blockchain in sequence. The use of an incentive mechanism motivates a single microgrid to participate in consensus. The effectiveness of the presented approach is demonstrated through a case study on an MMG system.
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