This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-26 Creation time: 03-14-36 --- Number of references 2 inproceedings 2022-wolsing-ipal 2022 10 26 The increasing interconnection of industrial networks exposes them to an ever-growing risk of cyber attacks. To reveal such attacks early and prevent any damage, industrial intrusion detection searches for anomalies in otherwise predictable communication or process behavior. However, current efforts mostly focus on specific domains and protocols, leading to a research landscape broken up into isolated silos. Thus, existing approaches cannot be applied to other industries that would equally benefit from powerful detection. To better understand this issue, we survey 53 detection systems and find no fundamental reason for their narrow focus. Although they are often coupled to specific industrial protocols in practice, many approaches could generalize to new industrial scenarios in theory. To unlock this potential, we propose IPAL, our industrial protocol abstraction layer, to decouple intrusion detection from domain-specific industrial protocols. After proving IPAL’s correctness in a reproducibility study of related work, we showcase its unique benefits by studying the generalizability of existing approaches to new datasets and conclude that they are indeed not restricted to specific domains or protocols and can perform outside their restricted silos. /fileadmin/papers/2022/2022-wolsing-ipal.pdf Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2022) 10.1145/3545948.3545968 1 KonradWolsing EricWagner AntoineSaillard MartinHenze proceedings 2022-wolsing-radarsec 2022 9 rfc https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-wolsing-radar.pdf IEEE Edmonton, Canada 47th IEEE Conference on Local Computer Networks (LCN) September 26-29, 2022 10.1109/LCN53696.2022.9843801 1 KonradWolsing AntoineSaillard JanBauer EricWagner Christianvan Sloun Ina BereniceFink MariSchmidt KlausWehrle MartinHenze