This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-05-20 Creation time: 02-21-38 --- Number of references 8 inproceedings 2019_pennekamp_dataflows 2019 11 11 27-38 The Internet of Production (IoP) envisions the interconnection of previously isolated CPS in the area of manufacturing across institutional boundaries to realize benefits such as increased profit margins and product quality as well as reduced product development costs and time to market. This interconnection of CPS will lead to a plethora of new dataflows, especially between (partially) distrusting entities. In this paper, we identify and illustrate these envisioned inter-organizational dataflows and the participating entities alongside two real-world use cases from the production domain: a fine blanking line and a connected job shop. Our analysis allows us to identify distinct security and privacy demands and challenges for these new dataflows. As a foundation to address the resulting requirements, we provide a survey of promising technical building blocks to secure inter-organizational dataflows in an IoP and propose next steps for future research. Consequently, we move an important step forward to overcome security and privacy concerns as an obstacle for realizing the promised potentials in an Internet of Production. Internet of Production; dataflows; Information Security internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-dataflows.pdf ACM Proceedings of the 5th ACM Workshop on Cyber-Physical Systems Security and PrivaCy (CPS-SPC '19), co-located with the 26th ACM SIGSAC Conference on Computer and Communications Security (CCS '19), November 11-15, 2019, London, United Kingdom London, United Kingdom November 11-15, 2019 978-1-4503-6831-5/19/11 10.1145/3338499.3357357 1 JanPennekamp MartinHenze SimoSchmidt PhilippNiemietz MarcelFey DanielTrauth ThomasBergs ChristianBrecher KlausWehrle inproceedings 2019-hiller-lcn-sessionsharing 2019 10 14 internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-hiller-lcn-case_for_tls_session_sharing.pdf IEEE IEEE 44th LCN Symposium on Emerging Topics in Networking (LCN Symposium), Osnabrück, Germany Osnabrück, Germany 44th IEEE Conference on Local Computer Networks (LCN) October 14-17, 2019 en 978-1-7281-2561-9 10.1109/LCNSymposium47956.2019.9000667 1 JensHiller MartinHenze TorstenZimmermann OliverHohlfeld KlausWehrle inproceedings 2019-hiller-icnp-tailoringOR 2019 10 10 An increasing number of IoT scenarios involve mobile, resource-constrained IoT devices that rely on untrusted networks for Internet connectivity. In such environments, attackers can derive sensitive private information of IoT device owners, e.g., daily routines or secret supply chain procedures, when sniffing on IoT communication and linking IoT devices and owner. Furthermore, untrusted networks do not provide IoT devices with any protection against attacks from the Internet. Anonymous communication using onion routing provides a well-proven mechanism to keep the relationship between communication partners secret and (optionally) protect against network attacks. However, the application of onion routing is challenged by protocol incompatibilities and demanding cryptographic processing on constrained IoT devices, rendering its use infeasible. To close this gap, we tailor onion routing to the IoT by bridging protocol incompatibilities and offloading expensive cryptographic processing to a router or web server of the IoT device owner. Thus, we realize resource-conserving access control and end-to-end security for IoT devices. To prove applicability, we deploy onion routing for the IoT within the well-established Tor network enabling IoT devices to leverage its resources to achieve the same grade of anonymity as readily available to traditional devices. internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-hiller-tailoring.pdf IEEE Proceedings of the 27th IEEE International Conference on Network Protocols (ICNP '19), October 7-10, 2019, Chicago, IL, USA Chicago, IL, USA 27th IEEE International Conference on Network Protocols (ICNP 2019) 7-10. Oct. 2019 978-1-7281-2700-2 2643-3303 10.1109/ICNP.2019.8888033 1 JensHiller JanPennekamp MarkusDahlmanns MartinHenze AndriyPanchenko KlausWehrle inproceedings 2019_pennekamp_multipath 2019 10 7 Users of an onion routing network, such as Tor, depend on its anonymity properties. However, especially malicious entry nodes, which know the client’s identity, can also observe the whole communication on their link to the client and, thus, conduct several de-anonymization attacks. To limit this exposure and to impede corresponding attacks, we propose to multipath traffic between the client and the middle node to reduce the information an attacker can obtain at a single vantage point. To facilitate the deployment, only clients and selected middle nodes need to implement our approach, which works transparently for the remaining legacy nodes. Furthermore, we let clients control the splitting strategy to prevent any external manipulation. Poster Session https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-multipathing.pdf IEEE Proceedings of the 27th IEEE International Conference on Network Protocols (ICNP '19), October 7-10, 2019, Chicago, IL, USA Chicago, IL, USA 27th IEEE International Conference on Network Protocols (ICNP 2019) 7-10. Oct. 2019 978-1-7281-2700-2 2643-3303 10.1109/ICNP.2019.8888029 1 JanPennekamp JensHiller SebastianReuter WladimirDe la Cadena AsyaMitseva MartinHenze ThomasEngel KlausWehrle AndriyPanchenko inproceedings 2019_pennekamp_doppelganger 2019 5 13 197-205 Public opinion manipulation is a serious threat to society, potentially influencing elections and the political situation even in established democracies. The prevalence of online media and the opportunity for users to express opinions in comments magnifies the problem. Governments, organizations, and companies can exploit this situation for biasing opinions. Typically, they deploy a large number of pseudonyms to create an impression of a crowd that supports specific opinions. Side channel information (such as IP addresses or identities of browsers) often allows a reliable detection of pseudonyms managed by a single person. However, while spoofing and anonymizing data that links these accounts is simple, a linking without is very challenging. In this paper, we evaluate whether stylometric features allow a detection of such doppelgängers within comment sections on news articles. To this end, we adapt a state-of-the-art doppelgängers detector to work on small texts (such as comments) and apply it on three popular news sites in two languages. Our results reveal that detecting potential doppelgängers based on linguistics is a promising approach even when no reliable side channel information is available. Preliminary results following an application in the wild shows indications for doppelgängers in real world data sets. online manipulation; doppelgänger detection; stylometry comtex https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-doppelganger.pdf ACM Companion Proceedings of the 2019 World Wide Web Conference (WWW '19 Companion), 4th Workshop on Computational Methods in Online Misbehavior (CyberSafety '19), May 13–17, 2019, San Francisco, CA, USA San Francisco, California, USA May 13-17, 2019 978-1-4503-6675-5/19/05 10.1145/3308560.3316496 1 JanPennekamp MartinHenze OliverHohlfeld AndriyPanchenko inproceedings 2019_pennekamp_infrastructure 2019 5 8 31-37 New levels of cross-domain collaboration between manufacturing companies throughout the supply chain are anticipated to bring benefits to both suppliers and consumers of products. Enabling a fine-grained sharing and analysis of data among different stakeholders in an automated manner, such a vision of an Internet of Production (IoP) introduces demanding challenges to the communication, storage, and computation infrastructure in production environments. In this work, we present three example cases that would benefit from an IoP (a fine blanking line, a high pressure die casting process, and a connected job shop) and derive requirements that cannot be met by today’s infrastructure. In particular, we identify three orthogonal research objectives: (i) real-time control of tightly integrated production processes to offer seamless low-latency analysis and execution, (ii) storing and processing heterogeneous production data to support scalable data stream processing and storage, and (iii) secure privacy-aware collaboration in production to provide a basis for secure industrial collaboration. Based on a discussion of state-of-the-art approaches for these three objectives, we create a blueprint for an infrastructure acting as an enabler for an IoP. Internet of Production; Cyber-Physical Systems; Data Processing; Low Latency; Secure Industrial Collaboration internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-iop-infrastructure.pdf IEEE Proceedings of the 2nd IEEE International Conference on Industrial Cyber-Physical Systems (ICPS '19), May 6-9, 2019, Taipei, TW Taipei, TW May 6-9, 2019 978-1-5386-8500-6/19 10.1109/ICPHYS.2019.8780276 1 JanPennekamp RenéGlebke MartinHenze TobiasMeisen ChristophQuix RihanHai LarsGleim PhilippNiemietz MaximilianRudack SimonKnape AlexanderEpple DanielTrauth UweVroomen ThomasBergs ChristianBrecher AndreasBührig-Polaczek MatthiasJarke KlausWehrle article 2019_henze_flexible_netzwerkstrukturen_iop ITG-news 2019 4 02/2019 7-8 internet-of-production,reflexes https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-henze-itg-iop-networkarchitectures.pdf Informationstechnische Gesellschaft im VDE

Frankfurt am Main

MartinHenze RenéGlebke KlausWehrle inproceedings 2019-glebke-hicss-integrated 2019 1 8 7252-7261 internet-of-production,reflexes https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-glebke-integrated.pdf Online University of Hawai'i at Manoa / AIS Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS), Wailea, HI, USA en 978-0-9981331-2-6 10.24251/HICSS.2019.871 1 RenéGlebke MartinHenze KlausWehrle PhilippNiemietz DanielTrauth PatrickMattfeld ThomasBergs