Collaborative Intrusion Detection System for Internet of Things Using Distributed Ledger Technology: A Survey on Challenges and Opportunities

This review presents the current state-of-the-art of the Distributed Ledger Technology (DLT) model used in the Collaborative Intrusion Detection System (CIDS) for anomaly detection in Internet of Things (IoT) network. The distributed IoT ecosystem has many cybersecurity problems related to anomalous activities on the network. CIDS technology is usually applied to detect anomalous activities on the IoT network. CIDS is suitable for IoT network because they have the same distributed characteristic. The use of DLT technology is expected to be able to help the IDS system accelerate detection and increase the accuracy of detection through a collaborative detection mechanism. This review will look more deeply at the placement strategies, detection method, security threat, and validation & testing method from CIDS with DLT-based for IoT network. This reviewalso discusses the open issue and the lesson learned at the end of the review. The result is expected to produce the next research topic and help professionals design effective CIDS based on DLT for the IoT network.