I-TRACE: PROTECTING CYBER-PHYSICAL INFRASTRUCTURE THROUGH ENHANCED GATEWAYS, DLT AND MACHINE LEARNING

Abstract

Recent advances in information and communications technologies, providing increased bandwidth in mobile environments, unprecedented computational power and miniaturisation of electronic devices, are helping realise a hyper-connected world. Specifically, developments in artificial intelligence and the Internet of Things are affording opportunities for enhanced customer service and competitive advantage for businesses and governments alike. However, given the significant value of these emerging services, and the data that underpins them, there is an increasingly urgent need to ensure effective protection. In this paper we present a novel architecture, built upon enhanced gateways, distributed ledger technology and machine learning, to identify, understand, and respond to emerging attacks on this critical infrastructure, thereby maintaining competitive advantage for businesses and realising the benefits of a digital economy for governments. ,