Title: CyberNFTs: conceptualising a decentralised and reward-driven intrusion detection system with ML

Authors: Synim Selimi; Blerim Rexha; Kamer Vishi

Addresses: Department of Computer Engineering, University of Prishtina, Kodra e Diellit, p.n., 10000 Prishtina, Kosovo ' Department of Computer Engineering, University of Prishtina, Kodra e Diellit, p.n., 10000 Prishtina, Kosovo ' Department of Informatics, University of Oslo, Gaustadalléen 23B, N-0373 Oslo, Norway

Abstract: The rapid evolution of the internet, particularly the emergence of Web3, has transformed the ways people interact and share data. Web3, although still not well defined, is thought to be a return to the decentralisation of corporations' power over user data. Despite the obsolescence of the idea of building systems to detect and prevent cyber intrusions, this is still a topic of interest. This paper proposes a novel conceptual approach for implementing decentralised collaborative intrusion detection networks (CIDN) through a proof-of-concept. The study employs an analytical and comparative methodology, examining the synergy between cutting-edge Web3 technologies and information security. The proposed model incorporates blockchain concepts, cyber non-fungible token (cyberNFT) rewards, machine learning algorithms, and publish/subscribe architectures. Finally, the paper discusses the strengths and limitations of the proposed system, offering insights into the potential of decentralised cybersecurity models.

Keywords: decentralisation; blockchain; Web3; intrusion detection; machine learning; non-fungible token; NFT; cyber security; cyberNFT; publish-subcribe systems.

DOI: 10.1504/IJICS.2023.133385

International Journal of Information and Computer Security, 2023 Vol.22 No.1, pp.117 - 138

Received: 09 Oct 2022
Accepted: 20 Mar 2023
Published online: 14 Sep 2023 *

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