This file was created by the TYPO3 extension bib --- Timezone: CET Creation date: 2022-01-22 Creation time: 21-46-21 --- Number of references 3 inproceedings 2022_dahlmanns_tlsiiot 2022 5 The ongoing trend to move industrial appliances from previously isolated networks to the Internet requires fundamental changes in security to uphold secure and safe operation. Consequently, to ensure end-to-end secure communication and authentication, (i) traditional industrial protocols, e.g., Modbus, are retrofitted with TLS support, and (ii) modern protocols, e.g., MQTT, are directly designed to use TLS. To understand whether these changes indeed lead to secure Industrial Internet of Things deployments, i.e., using TLS-based protocols, which are configured according to security best practices, we perform an Internet-wide security assessment of ten industrial protocols covering the complete IPv4 address space. Our results show that both, retrofitted existing protocols and newly developed secure alternatives, are barely noticeable in the wild. While we find that new protocols have a higher TLS adoption rate than traditional protocols (7.2 % vs. 0.4 %), the overall adoption of TLS is comparably low (6.5 % of hosts). Thus, most industrial deployments (934,736 hosts) are insecurely connected to the Internet. Furthermore, we identify that 42 % of hosts with TLS support (26,665 hosts) show security deficits, e.g., missing access control. Finally, we show that support in configuring systems securely, e.g., via configuration templates, is promising to strengthen security. industrial communication; network security; security configuration internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-dahlmanns-asiaccs.pdf ACM Proceedings of the 17th ACM ASIA Conference on Computer and Communications Security (ASIACCS '22), May 30-June 3, 2022, Nagasaki, Japan Nagasaki, Japan ASIACCS 2022 May 30-June 3, 2022 accepted 978-1-4503-9140-5/22/05 10.1145/3488932.3497762 1 MarkusDahlmanns JohannesLohmöller JanPennekamp JörnBodenhausen KlausWehrle MartinHenze article 2022-wolsing-aistracks Journal of Marine Science and Engineering 2022 1 14 10 1 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. automatic identification system; AIS; anomaly detection; maritime safety; maritime security; maritime surveillance https://www.mdpi.com/2077-1312/10/1/112 en 10.3390/jmse10010112 1 KonradWolsing LinusRoepert JanBauer KlausWehrle article 2022_brauner_iop ACM Transactions on Internet of Things 2022 Internet of Production; World Wide Lab; Digital Shadows; Industrial Internet of Things internet-of-production ACM accepted 2691-1914 10.1145/3502265 1 PhilippBrauner ManuelaDalibor MatthiasJarke IkeKunze IstvánKoren GerhardLakemeyer MartinLiebenberg JudithMichael JanPennekamp ChristophQuix BernhardRumpe Wilvan der Aalst KlausWehrle AndreasWortmann MartinaZiefle