This file was created by the TYPO3 extension
bib
--- Timezone: UTC
Creation date: 2025-02-19
Creation time: 12-08-07
--- Number of references
2
inproceedings
2022-wolsing-ipal
IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems
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
Network Attacks Against Marine Radar Systems: A Taxonomy, Simulation Environment, and Dataset
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