A novel intelligence and information acquisition system for managing indicators of compromise in distributed responsive manufacturing systems

Abstract

Additive manufacturing (AM) is a revolutionary technology that has the potential to transform the manufacturing industry and impact the digital economy. while AM presents opportunities for the digital economy, it is important for AM companies to implement strong cybersecurity measures to protect their designs, software, and equipment from attacks. To address these challenges, this paper discusses a rigorous cyber security measure to regularly assess AM-related threats. This paper outlines a new intelligence and information acquisition system (IIAS) that identifies threat-related information and Indicators of Compromise (IOC) in AM. The system consists of three subsystems: a) acquisition of threat information related to AM with an emphasis on integrity violations of design files in the AM ecosystem, b) quantification and prioritisation of threats based on severity metrics, and c) verifies and detects data breaches and exchanges on Hyperledger Fabric. Furthermore, IIAS verifies the integrity of parts related to a ledger, which helps detect violations and analyse various interactions in AM systems. It also provides the basis for achieving an end-to-end audit trail that ensures tamperproof tracking and delivery of AM artefacts within the acceptable risk profile.