Towards a Human-in-the-Loop Intelligent Intrusion Detection System
Joint Proceedings of Baltic DB&IS 2022 Doctoral Consortium and Forum co-located with 15th International Baltic Conference on Digital Business and Intelligent Systems (Baltic DB&IS 2022). CEUR Workshop Proceedings. Vol.3158 2022
Evita Roponena, Jānis Kampars, Jānis Grabis, Andris Gailītis

Information and communication technologies are an essential part of almost any business sector and, therefore, are the target of different cyberattacks. ICT security measures are necessary to protect information from unauthorized access. The Human-in-the-Loop approach argues that cybersecurity specialists should be continuously involved in evaluation of automated intrusion detection activities and should be supported by suitable tools to evaluate the situation. This paper proposes an overall design of the intelligent intrusion detection system with a focus on supporting cybersecurity specialists to fulfill the requirements of the Humanin- the-Loop approach. Typical users of cybersecurity, their use cases and interactions are identified. Architectural components supporting implementation of the system are identified. Big data and machine learning threat identification, knowledge management and personalized workplaces for system administrators and other users are the key modules of the system. © 2022 Copyright for this paper by its authors.


Keywords
big data; cybersecurity; human factors; Intrusion Detection
Hyperlink
https://ceur-ws.org/Vol-3158/paper8.pdf

Roponena, E., Kampars, J., Grabis, J., Gailītis, A. Towards a Human-in-the-Loop Intelligent Intrusion Detection System. In: Joint Proceedings of Baltic DB&IS 2022 Doctoral Consortium and Forum co-located with 15th International Baltic Conference on Digital Business and Intelligent Systems (Baltic DB&IS 2022). CEUR Workshop Proceedings. Vol.3158, Latvia, Riga, 3-6 July, 2023. Aachen: RWTH, 2022, pp.71-81. ISSN 1613-0073.

Publication language
English (en)
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