This file was created by the TYPO3 extension
bib
--- Timezone: UTC
Creation date: 2025-02-19
Creation time: 09-22-33
--- Number of references
5
inproceedings
2022-rechenberg-cim
Guiding Ship Navigators through the Heavy Seas of Cyberattacks
2022
10
Maritime Cybersecurity, Intrusion Detection System, Integrated Bridge System, IEC 61162-450, NMEA 0183
https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-rechenberg-guiding.pdf
https://zenodo.org/record/7148794
Zenodo
European Workshop on Maritime Systems Resilience and Security (MARESEC 2022)
Bremerhaven, Germany
10.5281/zenodo.7148794
1
Merlinvon Rechenberg
NinaRößler
MariSchmidt
KonradWolsing
FlorianMotz
MichaelBergmann
ElmarPadilla
JanBauer
article
2022-henze-tii-prada
Complying with Data Handling Requirements in Cloud Storage Systems
IEEE Transactions on Cloud Computing
2022
9
10
3
1661-1674
In past years, cloud storage systems saw an enormous rise in usage. However, despite their popularity and importance as underlying infrastructure for more complex cloud services, today’s cloud storage systems do not account for compliance with regulatory, organizational, or contractual data handling requirements by design. Since legislation increasingly responds to rising data protection and privacy concerns, complying with data handling requirements becomes a crucial property for cloud storage systems. We present Prada , a practical approach to account for compliance with data handling requirements in key-value based cloud storage systems. To achieve this goal, Prada introduces a transparent data handling layer, which empowers clients to request specific data handling requirements and enables operators of cloud storage systems to comply with them. We implement Prada on top of the distributed database Cassandra and show in our evaluation that complying with data handling requirements in cloud storage systems is practical in real-world cloud deployments as used for microblogging, data sharing in the Internet of Things, and distributed email storage.
https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-henze-tii-prada.pdf
Online
en
2168-7161
10.1109/TCC.2020.3000336
1
MartinHenze
RomanMatzutt
JensHiller
ErikMühmer
Jan HenrikZiegeldorf
Johannesvan der Giet
KlausWehrle
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
inproceedings
2022-wolsing-simple
Can Industrial Intrusion Detection Be SIMPLE?
2022
9
978-3-031-17143-7
574--594
Cyberattacks against industrial control systems pose a serious risk to the safety of humans and the environment. Industrial intrusion detection systems oppose this threat by continuously monitoring industrial processes and alerting any deviations from learned normal behavior. To this end, various streams of research rely on advanced and complex approaches, i.e., artificial neural networks, thus achieving allegedly high detection rates. However, as we show in an analysis of 70 approaches from related work, their inherent complexity comes with undesired properties. For example, they exhibit incomprehensible alarms and models only specialized personnel can understand, thus limiting their broad applicability in a heterogeneous industrial domain. Consequentially, we ask whether industrial intrusion detection indeed has to be complex or can be SIMPLE instead, i.e., Sufficient to detect most attacks, Independent of hyperparameters to dial-in, Meaningful in model and alerts, Portable to other industrial domains, Local to a part of the physical process, and computationally Efficient. To answer this question, we propose our design of four SIMPLE industrial intrusion detection systems, such as simple tests for the minima and maxima of process values or the rate at which process values change. Our evaluation of these SIMPLE approaches on four state-of-the-art industrial security datasets reveals that SIMPLE approaches can perform on par with existing complex approaches from related work while simultaneously being comprehensible and easily portable to other scenarios. Thus, it is indeed justified to raise the question of whether industrial intrusion detection needs to be inherently complex.
https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-wolsing-simple.pdf
Atluri, Vijayalakshmi and Di Pietro, Roberto and Jensen, Christian D. and Meng, Weizhi
Springer Nature Switzerland
Proceedings of the 27th European Symposium on Research in Computer Security (ESORICS '22), September 26-30, 2022, Copenhagen, Denmark
Copenhagen, Denmark
27th European Symposium on Research in Computer Security (ESORICS)
September 26-30, 2022
10.1007/978-3-031-17143-7_28
1
KonradWolsing
LeaThiemt
Christianvan Sloun
EricWagner
KlausWehrle
MartinHenze
article
2022_brauner_iop
A Computer Science Perspective on Digital Transformation in Production
ACM Transactions on Internet of Things
2022
5
1
3
2
The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of multiple scientific perspectives from material sciences, engineering, operations, business, and ergonomics, as optimization opportunities can be derived from any of these perspectives. To extend the IIoT to a true Internet of Production, two concepts are required: first, a complex, interrelated network of Digital Shadows which combine domain-specific models with data-driven AI methods; and second, the integration of a large number of research labs, engineering, and production sites as a World Wide Lab which offers controlled exchange of selected, innovation-relevant data even across company boundaries. In this article, we define the underlying Computer Science challenges implied by these novel concepts in four layers: Smart human interfaces provide access to information that has been generated by model-integrated AI. Given the large variety of manufacturing data, new data modeling techniques should enable efficient management of Digital Shadows, which is supported by an interconnected infrastructure. Based on a detailed analysis of these challenges, we derive a systematized research roadmap to make the vision of the Internet of Production a reality.
Internet of Production; World Wide Lab; Digital Shadows; Industrial Internet of Things
internet-of-production
https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-brauner-digital-transformation.pdf
ACM
2691-1914
10.1145/3502265
1
PhilippBrauner
ManuelaDalibor
MatthiasJarke
IkeKunze
IstvánKoren
GerhardLakemeyer
MartinLiebenberg
JudithMichael
JanPennekamp
ChristophQuix
BernhardRumpe
Wilvan der Aalst
KlausWehrle
AndreasWortmann
MartinaZiefle