An anomaly detecting blockchain strategy for secure IoT networks

Naseem Alsadi; Waleed Hilal; Onur Surucu; Alessandro Giuliani; Andrew Gadsden; John Yawney; Stephan Iskander

doi:10.1117/12.2618301

30 May 2022 An anomaly detecting blockchain strategy for secure IoT networks

Naseem Alsadi, Waleed Hilal, Onur Surucu, Alessandro Giuliani, Andrew Gadsden, John Yawney, Stephan Iskander

Proceedings Volume 12117, Disruptive Technologies in Information Sciences VI; 121170A (2022) https://doi.org/10.1117/12.2618301
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

Highly distributed connected systems, such as the Internet of Things (IoT), have made their way across numerous fields of application. IoT systems present a method for the connection for various heterogeneous devices across the internet, facilitating the efficient distribution, collection and processing of system-related data. However, while system inter connectivity has aided communication and augmented the effectiveness of integrated technology, it has also increased system vulnerability. To this end, researchers have proposed various security protocols and frameworks for IoT ecosystems. Yet while many suggested approaches augment system security, centralization remains an area of concern within IoT systems. Therefore, we propose the use of a decentralization scheme for IoT ecosystems based on Blockchain technology. The proposed method is inspired by Helium, a public wireless long-range network powered by blockchain. Each network node is characterized by its device properties, which are comprised of local and network-level features. Communication in the network requires the testimony of other companion nodes, ensuring that anomalous behaviour is not accepted and thereby preventing malicious attacks of various sorts.

Citation Download Citation

Naseem Alsadi, Waleed Hilal, Onur Surucu, Alessandro Giuliani, Andrew Gadsden, John Yawney, and Stephan Iskander "An anomaly detecting blockchain strategy for secure IoT networks", Proc. SPIE 12117, Disruptive Technologies in Information Sciences VI, 121170A (30 May 2022); https://doi.org/10.1117/12.2618301

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