Security impact assessment of industrial automation systems using genetic algorithm and simulation

Nikolaos Papakonstantinou; Seppo Sierla; Konstantinia Charitoudi; Bryan O'Halloran; Tommi Karhela; Valeriy Vyatkin; Irem Tumer

doi:10.1109/ETFA.2014.7005094

Security impact assessment of industrial automation systems using genetic algorithm and simulation

Nikolaos Papakonstantinou, Seppo Sierla, Konstantinia Charitoudi, Bryan O'Halloran, Tommi Karhela, Valeriy Vyatkin, Irem Tumer

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

Abstract

Much of the research on security of industrial automation systems has focused on countermeasures such as intrusion detection, certificate management or public key infrastructures. Due to limited resources, countermeasures should be focused to prevent the attacks with highest potential for damage. The impact of an attack can only be determined through a detailed analysis of the interactions of the automation system and the physical system under control. Attacks against single components are similar to ordinary component failures, so our focus is on deliberate damage to several components, since such scenarios are not considered in reliability engineering methods used for industrial automation systems. A simulation based security impact assessment method is proposed, using genetic algorithms to explore the range of possible attacks.

Original language	English
Title of host publication	Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, ETFA
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	8
ISBN (Electronic)	978-1-4799-4845-1
ISBN (Print)	978-1-4799-4846-8
DOIs	https://doi.org/10.1109/ETFA.2014.7005094
Publication status	Published - 2014
MoE publication type	A4 Article in a conference publication
Event	19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014 - Barcelona, Spain Duration: 16 Sept 2014 → 19 Sept 2014 Conference number: 19

Conference

Conference	19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014
Abbreviated title	ETFA 2014
Country/Territory	Spain
City	Barcelona
Period	16/09/14 → 19/09/14

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ETFA.2014.7005094

Cite this

Papakonstantinou, N., Sierla, S., Charitoudi, K., O'Halloran, B., Karhela, T., Vyatkin, V., & Tumer, I. (2014). Security impact assessment of industrial automation systems using genetic algorithm and simulation. In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, ETFA IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ETFA.2014.7005094

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title = "Security impact assessment of industrial automation systems using genetic algorithm and simulation",

abstract = "Much of the research on security of industrial automation systems has focused on countermeasures such as intrusion detection, certificate management or public key infrastructures. Due to limited resources, countermeasures should be focused to prevent the attacks with highest potential for damage. The impact of an attack can only be determined through a detailed analysis of the interactions of the automation system and the physical system under control. Attacks against single components are similar to ordinary component failures, so our focus is on deliberate damage to several components, since such scenarios are not considered in reliability engineering methods used for industrial automation systems. A simulation based security impact assessment method is proposed, using genetic algorithms to explore the range of possible attacks.",

author = "Nikolaos Papakonstantinou and Seppo Sierla and Konstantinia Charitoudi and Bryan O'Halloran and Tommi Karhela and Valeriy Vyatkin and Irem Tumer",

year = "2014",

doi = "10.1109/ETFA.2014.7005094",

language = "English",

isbn = "978-1-4799-4846-8",

booktitle = "Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, ETFA",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014, ETFA 2014 ; Conference date: 16-09-2014 Through 19-09-2014",

}

Papakonstantinou, N, Sierla, S, Charitoudi, K, O'Halloran, B, Karhela, T, Vyatkin, V & Tumer, I 2014, Security impact assessment of industrial automation systems using genetic algorithm and simulation. in Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, ETFA. IEEE Institute of Electrical and Electronic Engineers, 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014, Barcelona, Spain, 16/09/14. https://doi.org/10.1109/ETFA.2014.7005094

Security impact assessment of industrial automation systems using genetic algorithm and simulation. / Papakonstantinou, Nikolaos; Sierla, Seppo; Charitoudi, Konstantinia et al.
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, ETFA. IEEE Institute of Electrical and Electronic Engineers, 2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Security impact assessment of industrial automation systems using genetic algorithm and simulation

AU - Papakonstantinou, Nikolaos

AU - Sierla, Seppo

AU - Charitoudi, Konstantinia

AU - O'Halloran, Bryan

AU - Karhela, Tommi

AU - Vyatkin, Valeriy

AU - Tumer, Irem

N1 - Conference code: 19

PY - 2014

Y1 - 2014

N2 - Much of the research on security of industrial automation systems has focused on countermeasures such as intrusion detection, certificate management or public key infrastructures. Due to limited resources, countermeasures should be focused to prevent the attacks with highest potential for damage. The impact of an attack can only be determined through a detailed analysis of the interactions of the automation system and the physical system under control. Attacks against single components are similar to ordinary component failures, so our focus is on deliberate damage to several components, since such scenarios are not considered in reliability engineering methods used for industrial automation systems. A simulation based security impact assessment method is proposed, using genetic algorithms to explore the range of possible attacks.

AB - Much of the research on security of industrial automation systems has focused on countermeasures such as intrusion detection, certificate management or public key infrastructures. Due to limited resources, countermeasures should be focused to prevent the attacks with highest potential for damage. The impact of an attack can only be determined through a detailed analysis of the interactions of the automation system and the physical system under control. Attacks against single components are similar to ordinary component failures, so our focus is on deliberate damage to several components, since such scenarios are not considered in reliability engineering methods used for industrial automation systems. A simulation based security impact assessment method is proposed, using genetic algorithms to explore the range of possible attacks.

U2 - 10.1109/ETFA.2014.7005094

DO - 10.1109/ETFA.2014.7005094

M3 - Conference article in proceedings

SN - 978-1-4799-4846-8

BT - Proceedings of the 2014 IEEE Emerging Technology and Factory Automation, ETFA

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014

Y2 - 16 September 2014 through 19 September 2014

ER -

Security impact assessment of industrial automation systems using genetic algorithm and simulation

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