TY - JOUR A1 - Whiskerd, Nicholas A1 - Körtge, Nicklas A1 - Jürgens, Kris A1 - Ezennaya-Gomez, Salatiel A1 - Vielhauer, Claus A1 - Dittmann, Jana A1 - Hildebrandt, Mario T1 - Keystroke biometrics in the encrypted domain: a first study on search suggestion functions of web search engines JF - EURASIP Journal on Information Security KW - keystroke dynamics KW - biometrics KW - search engines KW - encrypted domain Y1 - 2020 U6 - https://doi.org/10.1186/s13635-020-0100-8 IS - 2020:2 PB - Springer ER - TY - CHAP A1 - Hildebrandt, Mario A1 - Lamshöft, Kevin A1 - Dittmann, Jana A1 - Neubert, Tom A1 - Vielhauer, Claus T1 - Information Hiding in Industrial Control Systems: An OPC UA based Supply Chain Attack and its Detection T2 - Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec’20), June 22–24, 2020, Denver, CO, USA KW - Information Hiding KW - Steganography KW - Process automation KW - Industrial Control Systems KW - OPC UA Y1 - 2020 U6 - https://doi.org/10.1145/3369412 SP - 115 EP - 120 PB - The Association for Computing Machinery CY - New York ER - TY - JOUR A1 - Neubert, Tom A1 - Vielhauer, Claus T1 - Kill Chain Attack Modelling for Hidden Channel Attack Scenarios in Industrial Control Systems JF - IFAC-PapersOnLine Y1 - 2020 UR - https://linkinghub.elsevier.com/retrieve/pii/S2405896320305231 U6 - https://doi.org/10.1016/j.ifacol.2020.12.246 SN - 24058963 SP - 11074 EP - 11080 PB - Elsevier ER - TY - CHAP A1 - Ezennaya-Gomez, Salatiel A1 - Vielhauer, Claus A1 - Dittmann, Jana ED - Katsikas, Sokratis ED - Lambrinoudakis, Costas ED - Cuppens, Nora ED - Mylopoulos, John ED - Kalloniatis, Christos ED - Meng, Weizhi ED - Furnell, Steven ED - Pallas, Frank ED - Pohle, Jörg ED - Sasse, M. Angela ED - Abie, Habtamu ED - Ranise, Silvio ED - Verderame, Luca ED - Vidal, Jorge Maestre ED - Cambiaso, Enrico ED - Monge, Marco Antonio Sotelo T1 - A Semantic Model for Embracing Privacy as Contextual Integrity in the Internet of Things T2 - European Symposium on Research in Computer Security, Cham, 2022 Konferenzband: Computer Security. ESORICS 2021 International Workshops N2 - Due to the increasing number of complaints alleging privacy violations against companies to data protection authorities, the translation of business goals to system design goals and the subsequent consequences for customers’ privacy poses a challenge for many companies. For this reason, there is a need to bridge the economics of privacy and threats to privacy. To this end, our work relies on the concept of privacy as contextual integrity. This framework defines privacy as appropriate information flows subjected to social norms within particular social contexts or spheres. In this paper, we introduce a preliminary version of a semantic model which aims to relate and provide understanding on how well-established business goals may affect their customers’ privacy by designing IoT devices with permission access, data acquired by sensors, among other factors. Finally, we provide a use case application showing how to use the semantic model. The model aims to be an educational tool for professionals in business informatics during the modeling and designing process of a product which may gather sensitive data or may infer sensitive information, giving an understanding of the interaction of the product and its footprint with diverse actors (humans or machines). In the future, a further complete model of the presented may also target other groups, such as law enforcement bodies, as part of their educational training in such systems. T3 - Lecture notes in computer science - 13106 Y1 - 2022 UR - https://link.springer.com/10.1007/978-3-030-95484-0_24 SN - 978-3-030-95483-3 978-3-030-95484-0 U6 - https://doi.org/10.1007/978-3-030-95484-0_24 IS - 13106 SP - 413 EP - 423 PB - Springer CY - Cham ER - TY - CHAP A1 - Hildebrandt, Mario A1 - Altschaffel, Robert A1 - Lamshöft, Kevin A1 - Lange, Mathias A1 - Szemkus, Martin A1 - Neubert, Tom A1 - Vielhauer, Claus A1 - Ding, Yongjian A1 - Dittmann, Jana T1 - Threat Analysis of Steganographic and Covert Communication in Nuclear I&C Systems T2 - Konferenz: International Conference on Nuclear Security: Sustaining and Strengthening Efforts (ICONS), Vienna, Austria, 2020/ Konferenzband: International Conference on Nuclear Security: Sustaining and Strengthening Efforts N2 - Steganographic and covert communication is increasingly used for hiding attacks. Often information hiding is used by attackers in advanced persistent threats in order to operate without being noticed. Attackers might use it to hide data exfiltration or control channels for persistent malware. The paper analyzes potential threats to operational technology by investigating different communication protocols towards their suitability as cover channels. Using a generalized network architecture model and the communication flows of nuclear power plants, the attack potential using information hiding is exemplary assessed. An example for a supply chain attack for command injection is given on the foundation of the OPC UA protocol and an off-theshelf programmable logic controller. Subsequently, recommendations for a strategic and operational preparation for operators towards the prevention and detection of information hiding attacks are derived. Y1 - 2020 UR - https://www.researchgate.net/publication/350966454_Threat_Analysis_of_Steganographic_and_Covert_Communication_in_Nuclear_IC_Systems PB - IAEA CY - Vienna, Austria ER - TY - CHAP A1 - Kalbitz, Michael A1 - Vielhauer, Claus T1 - Automated forensic ink determination in handwritten documents by clustering T2 - 2019 27th European Signal Processing Conference (EUSIPCO) Ort: A Coruña, Spanien, 2. bis 6. September 2019 Y1 - 2019 SN - 978-9-0827-9703-9 SN - 978-90-827970-2-2 SN - 978-1-5386-7300-3 U6 - https://doi.org/10.23919/EUSIPCO.2019.8903107 SN - 2076-1465 SN - 2219-5491 SP - 1 EP - 5 PB - IEEE CY - New York ER - TY - CHAP A1 - Vielhauer, Claus A1 - Loewe, Fabian A1 - Pilgermann, Michael T1 - Towards Modeling Hidden & Steganographic Malware Communication based on Images T2 - IH&MMSEC '25: ACM Workshop on Information Hiding and Multimedia Security, San Jose, CA, USA, 2025 N2 - Recently, an increasing number of IT security incidents involving malware, which makes use of hidden and steganographic channels for malicious communication (a.k.a. as "stegomalware"), can be observed in the wild. Especially the use of images to hide malicious code is rising. In consideration of this shift, a new model is proposed in this paper, which aims to help security professionals to identify and analyze incidents revolving around steganographic malware in the future. The model focuses on practical aspects of steganalysis of communication data to elaborate linking properties to previous code analysis knowledge. The model features two distinct roles that interact with a knowledge base which stores malware features and helps building a context for the incident. For evaluation, two image steganography malware types are chosen from popular databases (malpedia and MITRE ATT&CK®), which are analyzed in multiple steps including steganalysis and code analysis. It is conceptually shown, how the extracted features can be stored in a knowledge base for later use to identify stegomalware from communication data without the need of a thorough code analysis. This allows to uncover previously hidden meta-information about the examined malicious programs, enrich the incident’s forensic context traces and thus allows for thorough forensic insights, including attribution and improved preventive security measures in the future. Y1 - 2025 UR - https://dl.acm.org/doi/pdf/10.1145/3733102.3733152 U6 - https://doi.org/10.1145/3733102.3733152 SP - 52 EP - 63 ER - TY - JOUR A1 - Neubert, Tom A1 - Schueler, Eric A1 - Ullrich, Henning A1 - Buxhoidt, Laura A1 - Vielhauer, Claus T1 - Extended Analysis, Detection and Attribution of Steganographic Embedding Methods in Network Data of Industrial Controls Systems JF - International Journal on Advances in Security N2 - Since the last decade, it is well known that Industrial Control Systems (ICS) are under attack and attackers nowadays increasingly use stealthy malware (i.e., stegomalware) imple- mented by steganographic embedding methods to in- and exfil- trate hidden information. Unfortunately, current mechanisms to distinguish between network steganographic embedding methods and embedded message types need improvement for a potential attribution of attackers. For the analysis of steganographic em- bedding methods which are utilized in stealthy malware, the work presented in this paper builds upon a state-of-the-art analysis testbed proposed earlier, which is recapitulated here. It offers the opportunity to analyze network steganographic embedding methods in ICS to elaborate methods to detect and distinguish between them to gain forensic information for attribution of potential attackers and their methods. In this work, we introduce a novel machine learning based approach to distinguish between five selected embedding methods and two embedded message types. We use the analysis testbed to evaluate and determine the accuracy of the novel approach compared to a state-of-the-art approach. In our extensive evaluation, our novel approach has shown to be able to distinguish between network steganographic embedding methods with an average accuracy of 85.7%, which is an improvement in comparison to the state-of-the-art by +5.9% and enables a more accurate attribution of attackers. Additionally, the novel approach is able to improve the accuracy of distinction between embedding method and embedded message type by +9.3% in comparison to the evaluated state-of-the-art approach. Y1 - 2025 VL - 18 IS - 1&2 SP - 112 EP - 122 PB - IARIA ER - TY - JOUR A1 - Pilgermann, Michael A1 - Vielhauer, Claus A1 - Petrov, Denis A1 - Dittmann, Jana A1 - Krätzer, Christian T1 - Attribution im IT-Grundschutz des BSI: Ausweitung der Detektion von Cyberangriffen im IT-Sicherheitsprozess JF - Datenschutz und Datensicherheit (DuD) N2 - Inzwischen hat sich die Einsicht durchgesetzt, dass Cyberangriffe nicht komplett verhindert werden können. Stattdessen sollen die möglichen Auswirkungen von Vorfällen sinnvoll reduziert werden. Damit steigt die Bedeutung der Erkennung von Sicherheitsvorfällen, um schnell reagieren und das Schadensausmaß begrenzen zu können. Damit die Fortschritte bei der Erkennung künftig auch in der Praxis angewendet werden können, ist eine Verankerung in den entsprechenden Vorgehensweisen erforderlich. Dies erfolgt nachfolgend am Beispiel des IT-Grundschutzes, dessen Methoden in der deutschsprachigen IT-Sicherheitscommunity verbreitet sind. Y1 - 2025 U6 - https://doi.org/10.1007/s11623-025-2173-5 VL - 49 IS - 11 SP - 731 EP - 736 PB - Springer ER -