D
2017
Situational Awareness: Detecting Critical Dependencies and Devices in a Network
LAŠTOVIČKA, Martin and Pavel ČELEDA
Basic information
Original name
Situational Awareness: Detecting Critical Dependencies and Devices in a Network
Authors
LAŠTOVIČKA, Martin and Pavel ČELEDA
Edition
Zurich (Switzerland), AIMS 2017 - 11th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, p. 173-178, 6 pp. 2017
Other information
Type of outcome
Proceedings paper
Field of Study
Informatics
Country of publisher
Switzerland
Confidentiality degree
is not subject to a state or trade secret
Publication form
printed version "print"
Marked to be transferred to RIV
Yes
RIV identification code
RIV/00216224:14610/17:00094476
Organization
Ústav výpočetní techniky – Repository – Repository
Keywords (in Czech)
situational awareness; cybersecurity; device importance evaluation; threat impact estimation; graph theory; network monitoring
Keywords in English
situational awareness; cybersecurity; device importance evaluation; threat impact estimation; graph theory; network monitoring
Links
VI20172020070, research and development project.
In the original language
Large-scale networks consisting of thousands of connected devices are like a living organism, constantly changing and evolving. It is very difficult for a human administrator to orient in such environment and to react to emerging security threats. With such motivation, this PhD proposal aims to find new methods for automatic identification of devices, the services they provide, their dependencies and importance. The main focus of the proposal is to find novel approaches to building cyber situational awareness in an unknown network for the purpose of computer security incident response. Our research is at the initial phase and will contribute to a PhD thesis in four years.
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