Situational awareness for security adaptation in industrial control systems

Antti Evesti, Tapio Frantti

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

5 Citations (Scopus)

Abstract

Situational Awareness (SA) offers an analysed view of system's security posture. Securing Industrial Control Systems (ICSs) and critical infrastructures requires timely and correct SA. System administrators make decisions and modify security mechanisms based on SA information. In this paper, we envision how security adaptation can facilitate administrators' work in the ICS protection. Security adaptation is not widely applied in ICS context. Moreover, existing security adaptation approaches concentrate on recognition of an adaptation need, i.e,. building situational awareness, instead of security decision making. Therefore, we present steps to create a security adaptation plan, and apply fuzzy set theory and linguistic relations for decision making, when SA information indicates that required security is not reached.
Original languageEnglish
Title of host publicationUbiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages1-6
DOIs
Publication statusPublished - 10 Aug 2015
MoE publication typeA4 Article in a conference publication
Event7th International Conference on Ubiquitous and Future Networks - Sapporo, Japan
Duration: 7 Jul 201510 Jul 2015
Conference number: 7

Conference

Conference7th International Conference on Ubiquitous and Future Networks
Abbreviated titleICUFN
CountryJapan
CitySapporo
Period7/07/1510/07/15

Keywords

  • control engineering computing
  • critical infrastructures
  • decision making
  • industrial control
  • security of data

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  • Cite this

    Evesti, A., & Frantti, T. (2015). Situational awareness for security adaptation in industrial control systems. In Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on (pp. 1-6). [7182484] IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ICUFN.2015.7182484