The diversification and enhancement of an IDS scheme for the cybersecurity needs of modern supply chainsThe diversification and enhancement of an IDS scheme for the cybersecurity needs of modern supply chains Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2023-09-112022enThis research was funded by the European Horizon 2020 Research and Innovation Programme CYRENE under Grant Agreement No 952690. Also, this work was funded by the European Horizon 2020 Innovation Programme EnerMan under grant agreement No 958478.Despite the tremendous socioeconomic importance of supply chains (SCs), security officers and operators are faced with no easy and integrated way for protecting their critical, and interconnected, infrastructures from cyber-attacks. As a result, solutions and methodologies that support the detection of malicious activity on SCs are constantly researched into and proposed. Hence, this work presents the implementation of a low-cost reconfigurable intrusion detection system (IDS), on the edge, that can be easily integrated into SC networks, thereby elevating the featured levels of security. Specifically, the proposed system offers real-time cybersecurity intrusion detection over high-speed networks and services by offloading elements of the security check workloads on dedicated reconfigurable hardware. Our solution uses a novel framework that implements the Aho–Corasick algorithm on the reconfigurable fabric of a multi-processor system-on-chip (MPSoC), which supports parallel matching for multiple network packet patterns. The initial performance evaluation of this proof-of-concept shows that it holds the potential to outperform existing software-based solutions while unburdening SC nodes from demanding cybersecurity check workloads. The proposed system performance and its efficiency were evaluated using a real-life environment in the context of European Union’s Horizon 2020 research and innovation program, i.e., CYRENE.http://creativecommons.org/licenses/by/4.0/Electronics1113Deyannis_et_al_Electronics_11(13)_2022.pdfChania [Greece]Library of TUC2023-09-11application/pdf1.1 MBfree Deyannis Dimitris Papadogiannaki Evangelia Παπαδογιαννακη Ευαγγελια Chrysos Grigorios Georgopoulos Konstantinos Γεωργοπουλος Κωνσταντινος Ioannidis Sotirios Ιωαννιδης Σωτηριος MDPI Cybersecurity Supply chain services Network intrusion detection Pattern matching Reconfigurable parallel computing Network packet processing