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@Article { 2022-wolsing-aistracks,
   title = {Anomaly Detection in Maritime AIS Tracks: A Review of Recent Approaches},
   journal = {Journal of Marine Science and Engineering},
   year = {2022},
   month = {1},
   day = {14},
   volume = {10},
   number = {1},
   abstract = {The automatic identification system (AIS) was introduced in the maritime domain to increase the safety of sea traffic. AIS messages are transmitted as broadcasts to nearby ships and contain, among others, information about the identification, position, speed, and course of the sending vessels. AIS can thus serve as a tool to avoid collisions and increase onboard situational awareness. In recent years, AIS has been utilized in more and more applications since it enables worldwide surveillance of virtually any larger vessel and has the potential to greatly support vessel traffic services and collision risk assessment. Anomalies in AIS tracks can indicate events that are relevant in terms of safety and also security. With a plethora of accessible AIS data nowadays, there is a growing need for the automatic detection of anomalous AIS data. In this paper, we survey 44 research articles on anomaly detection of maritime AIS tracks. We identify the tackled AIS anomaly types, assess their potential use cases, and closely examine the landscape of recent AIS anomaly research as well as their limitations.},
   keywords = {automatic identification system; AIS; anomaly detection; maritime safety; maritime security; maritime surveillance},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-wolsing-aistracks.pdf},
   web_url = {https://www.mdpi.com/2077-1312/10/1/112},
   language = {en},
   DOI = {10.3390/jmse10010112},
   reviewed = {1},
   author = {Wolsing, Konrad and Roepert, Linus and Bauer, Jan and Wehrle, Klaus}
}

@Inproceedings { 2020_roepert_opcua,
   title = {Assessing the Security of OPC UA Deployments},
   year = {2020},
   month = {4},
   day = {2},
   abstract = {To address the increasing security demands of industrial deployments, OPC UA is one of the first industrial protocols explicitly designed with security in mind. However, deploying it securely requires a thorough configuration of a wide range of options. Thus, assessing the security of OPC UA deployments and their configuration is necessary to ensure secure operation, most importantly confidentiality and integrity of industrial processes. In this work, we present extensions to the popular Metasploit Framework to ease network-based security assessments of OPC UA deployments. To this end, we discuss methods to discover OPC UA servers, test their authentication, obtain their configuration, and check for vulnerabilities. Ultimately, our work enables operators to verify the (security) configuration of their systems and identify potential attack vectors.},
   tags = {internet-of-production, rfc},
   url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-roepert-opcua-security.pdf},
   misc2 = {en},
   publisher = {University of T{\"u}bingen},
   booktitle = {Proceedings of the 1st ITG Workshop on IT Security (ITSec '20), April 2-3, 2020, T{\"u}bingen, Germany},
   event_place = {T{\"u}bingen, Germany},
   event_date = {April 2-3, 2020},
   DOI = {10.15496/publikation-41813},
   reviewed = {1},
   author = {Roepert, Linus and Dahlmanns, Markus and Fink, Ina Berenice and Pennekamp, Jan and Henze, Martin}
}