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Auflistung nach Schlagwort "Industrial Automation and Control Systems"

1 - 3 von 3
  • Textdokument
    The 5th GI/ACM Workshop 2020 Scope and Draft Programme on Standardization of Secure and Safe Smart Manufacturing Systems with respect to IEC 62443 IACS
    (INFORMATIK 2020, 2021) deMeer, Jan; Waedt, Karl; Rennoch, Axel; Hof, Hans-Joachim
    The 5th GI/ACM Workshop Programme on Standardization of Secure and Safe Production within Industrial Automation and Control Systems (IACS) took place virtually at September 28, 2020 at the Karlsruhe Institute of Technology (KIT) that hosted the 50th GI's yearly assembly (GI Informatik 2020 Jahrestagung): https://informatik2020.de/programm/workshops/
  • Konferenzbeitrag
    Generative AI and Gametheory for the development and deployment of Honeypots to enhance the Security of Industrial Automation and Control Systems
    (INFORMATIK 2024, 2024) Peters, Ludger; Gkoktsis, Georgios
    The computing hardware and software of modern Industrial automation and control system has evolved to be like traditional IT hardware in the first decade of this century. Due to the specialized demands on these systems introduced, e.g., by specialized measurement equipment or additional safety requirements, typical IT update and security procedures cannot be followed. This paper explores the use of generative AI models in honeypots for enhancing the cybersecurity in industrial automation and control systems. As honeypots are used as traps for system attackers, the deployment of generative AI models enables the creation of more convincing and sophisticated decoy environments. This increases the likelihood of an attacker’s engagement with the environment, improving the detection and analysis of malicious activities. Through a brief summary, this paper quantifies the existing research on generative AI in honeypots. The findings highlight the significant potential of generative AI models in enhancing the security of IACS through their integration into honeypot systems. This can ultimately lead to organizations being able to gain more in-depth insights into emerging cyber threats, improve their incident response capabilities, and enhance the resilience of their industrial control systems. To quantify the impact of employing such advanced deception technologies on the behavior of the attacker, this paper proposes a novel approach using a non-cooperative game-theoretic framework for deploying honeypots in OT systems. This methodology enables strategic analysis that balances limited resources with the need to predict and counter sophisticated cyber adversaries’ actions.
  • Textdokument
    Supporting Security in Industrial Automation and Control Systems using Domain-Specific Modelling
    (INFORMATIK 2021, 2021) Altschaffel, Robert; Hempel, Ivo; Keil, Oliver; Schindler, Josef; Szemkus, Martin; Dittmann, Jana; Lange, Matthias; Waedt, Karl; Ding, Yongjian
    This paper explores how domain specific modelling can be used to support the identification of potential vulnerabilities and risks in Industrial Automation and Control Systems (IACS) to enhance security by enabling a mitigation of these vulnerabilities. This approach can be used to support already deployed IACS or to include Security-by-Design and Security Defence-in-Depth principles in the planning of future facilities. This paper explores the requirements for such a modelling approach including domain and security specific aspects. Three interlinked aspects of IACS which require different modelling approaches are identified leading to three distinct types of models: Infrastructure, cyber-process, and physical process. These three types are relevant for different attack vectors and to judge the potential impact of any attack. This paper shows examples for these three models and how these models can be used to identify vulnerabilities with the aim to close them.