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An Intrusion Detection System (IDS) aims to alert users of incoming attacksby deploying a detector that monitors network traffic continuously. As aneffort to increase detection capabilities, a set of independent IDS detectorstypically work collaboratively to build intelligence of holistic networkrepresentation, which is referred to as Collaborative Intrusion DetectionSystem (CIDS). However, developing an effective CIDS, particularly for the IoTecosystem raises several challenges. Recent trends and advances in blockchaintechnology, which provides assurance in distributed trust and secure immutablestorage, may contribute towards the design of effective CIDS. In this posterabstract, we present our ongoing work on a decentralized CIDS for IoT, which isbased on blockchain technology. We propose an architecture that providesaccountable trust establishment, which promotes incentives and penalties, andscalable intrusion information storage by exchanging bloom filters. We arecurrently implementing a proof-of-concept of our modular architecture in alocal test-bed and evaluate its effectiveness in detecting common attacks inIoT networks and the associated overhead.

Poster Abstract: Towards Scalable and Trustworthy Decentralized Collaborative Intrusion Detection System for IoT