|Integration effort prediction for asset management data collection|
|SweGRIDS research area||Digitalization of Power Systems|
|SweGRIDS project code||DPS2|
|Researcher||Sotirios Katsikeas (webpage)|
|Project period||2018-09-01 to 2023-|
|Project supervisor||Pontus Johnssson (webpage)
Edith Ngai (webpage)
|Industrial sponsors||Svenska kraftnät|
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Digital data collection is costly because a number of obstacles need to be overcome in order to transmit information from a source to a target in an oftentimes complex computer network. Firstly, there are requirements on physical connections, communication protocols, common languages or translators, addressing provisions, and look-up services. Secondly, the communication needs to be secure. Finally, access to data needs to be controlled by various security controls.
In modern complex computer networks, there are generally many different solutions to any one’s data collection requirements, all subsumed under the general heading of integration. However, each solution will entail a different amount of effort, and thus cost. Furthermore, there are generally significant synergies to reap by solving multiple data collection requirements with a more generic integration solution.
In order to select among competing candidate solutions, this project proposes the development of an integration effort and security prediction tool. Such a tool requires a realistic model of the information system architecture as its input and produces an estimation/simulation of both legitimate operations (i.e., the ease with which data can be collected and used) and illegitimate operations (i.e., the possible security weak points) as its output. Therefore, the overall security and integration achieved by the system can be estimated. Using such a solution, organizations can select the most efficient and secure integration option/deployment.
The work will build on previous work on reachability analysis in computer networks, on interoperability prediction, on architecture-based analysis approaches and on probabilistic cyber-attack predictions.
Summary of work
First a comprehensive and automatic systematic literature review has been conducted on the cybersecurity and information security domains using the Scopus database. This allowed us to do a research community analysis in which the relations between authors are taken into consideration.
Then an attack simulation language for the IT domain was developed. That language is based on the Meta Attack Language (MAL). This Domain Specific Language can simulate both interoperability and illegitimate access on generic IT infrastructures.
An extension of the aforementioned language for, the more specific, industrial control systems domain was also created and is currently under evaluation. This extended language will be a part of a family of languages (ecosystem) that all together will aim to fully model the infrastructures found on the power domain.
2019. Poster presentation, SweGRIDS annual conference 2019. KTH, Stockholm.
2019. Poster presentation, SWITS annual seminar 2019. Karlstad, Sweden.
2020. Pitch presentation, SweGRIDS annual conference 2020. KTH, Stockholm.
Åsa Groth, ABB Enterprise Software
Göran Ericsson, Svenska kraftnät
Ola Ivarsson, E.On
Publications by this researcher
See alternatively the researcher's full DiVA list of publications, with options for sorting.
Publications in journals and conferences usually will not show until a while after they are published.
Towards an Ecosystem of Domain Specific Languages for Threat Modeling
Simon Hacks, Sotirios Katsikeas.
2021, Advanced Information Systems Engineering
An Attack Simulation Language for the IT Domain
Sotirios Katsikeas, Simon Hacks, Pontus Johnson, Mathias Ekstedt, Robert Lagerström, J. Jacobsson, B. Wällstedt, P. Eliasson.
2020, 7th International Workshop on Graphical Models for Security, GramSec 2020
powerLang : a probabilistic attack simulation language for the power domain
Simon Hacks, Sotirios Katsikeas, Engla Ling, Robert Lagerström, Mathias Ekstedt.
2020, Energy Informatics, vol. 3(1)
Creating Meta Attack Language Instances using ArchiMate : Applied to Electric Power and Energy System Cases
Simon Hacks, Alexander Hacks, Sotirios Katsikeas, Benedikt Klaer, Robert Lagerström.
2019, 2019 IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC), 28-31 Oct. 2019
Probabilistic Modeling and Simulation of Vehicular Cyber Attacks : An Application of the Meta Attack Language
Sotirios Katsikeas, Pontus Johnson, Simon Hacks, Robert Lagerström.
2019, 5th International Conference on Information Systems Security and Privacy, ICISSP 2019
Publication list last updated from DiVA on 2021-09-18 22:00.
Page started: 2018-09-01
Last generated: 2021-09-18