Assessing and Augmenting SCADA Cyber Security-A Survey of Techniques

Journal article


Patel, S., Nazir, S and Patel, D. (2017). Assessing and Augmenting SCADA Cyber Security-A Survey of Techniques. Computers & Security. 70, pp. 436-454.
AuthorsPatel, S., Nazir, S and Patel, D.
Abstract

SCADA systems monitor and control critical infrastructures of national importance such as power generation and distribution, water supply, transportation networks, and manufacturing facilities. The pervasiveness, miniaturisations and declining costs of internet connectivity have transformed these systems from strictly isolated to highly interconnected networks. The connectivity provides immense benefits such as reliability, scalability and remote connectivity, but at the same time exposes an otherwise isolated and secure system, to global cyber security threats. This inevitable transformation to highly connected systems thus necessitates effective security safeguards to be in place as any compromise or downtime of SCADA systems can have severe economic, safety and security ramifications. One way to ensure vital asset protection is to adopt a viewpoint similar to an attacker to determine weaknesses and loopholes in defences. Such mind sets help to identify and fix potential breaches before their exploitation. This paper surveys tools and techniques to uncover SCADA system vulnerabilities. A comprehensive review of the selected approaches is provided along with their applicability.

Keywordscyber defence; anomaly detection; attack tools; vulnerability; simulation; modelling; SCADA
Year2017
JournalComputers & Security
Journal citation70, pp. 436-454
PublisherElsevier
Digital Object Identifier (DOI)doi:10.1016/j.cose.2017.06.010
Publication dates
Print05 Jul 2017
Publication process dates
Deposited08 Aug 2017
Accepted26 Jun 2017
Accepted author manuscript
License
CC BY-NC-ND 4.0
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/86yv9

  • 19
    total views
  • 61
    total downloads
  • 5
    views this month
  • 10
    downloads this month

Related outputs

Cloud-based Autonomic Computing Framework for Securing SCADA Systems
Patel, S., Patel, D. and Nazir, S. (2020). Cloud-based Autonomic Computing Framework for Securing SCADA Systems. in: Chui, K.T., Lytras, M.D., Liu, R.W. and Zhao, M. (ed.) Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence IGI Global.
A Critical Analysis Of ‘Creativity’ In Sustainable Production And Design
Empson, T., Chance, S. and Patel, S. (2019). A Critical Analysis Of ‘Creativity’ In Sustainable Production And Design. 21st International Conference on Engineering and Product Design Education . University of Strathclyde, Glasgow 12 - 13 Sep 2019 doi:10.35199/epde2019.4
On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence
Patel, S., Wang, Y., Plataniotis, K.N., Kwong, S., Leung, H., Yanushkevich, S., Karray, F., Hou, M., Howard, N., Fiorini, R.A., Soda, P. and Tunstel, E. (2019). On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence. IEEE International Conference on Cognitive Informatics & Cognitive Computing 2019. Milan, Italy 23 - 25 Jul 2019 Institute of Electrical and Electronics Engineers (IEEE).
Formal Ontology Generation by Deep Machine Learning
Wang, Y, Valipour, M, Zatarain, O, Gavrilova, M, Hussain, A, Howard, N and Patel, S. (2018). Formal Ontology Generation by Deep Machine Learning. Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017 IEEE 16th International Conference on. Oxford 26 - 28 Jul 2017 London South Bank University. doi:10.1109/ICCI-CC.2017.8109723
Hyper Parameters Selection for Image Classification in Convolutional Neural Networks
Patel, S. (2018). Hyper Parameters Selection for Image Classification in Convolutional Neural Networks. IEEE International Conference on Cognitive Informatics & Cognitive Computing 2018. Berkeley, Califormia, USA 15 - 18 Jul 2018 IEEE.
A Survey and Analysis on Sequence Learning Methodologies and Deep Neural Networks
Patel, S., Wang, Y, Zatarain, O, Graves, D, Gavrilova, M and Howard, N (2018). A Survey and Analysis on Sequence Learning Methodologies and Deep Neural Networks. IEEE International Conferenece on Cognitive Informatics & Cognitive Computing. Berkeley, California, USA 16 - 18 Jul 2018 IEEE.
Towards a Business Model Framework to Increase Collaboration in the Freight Industry
Vargas, A, Patel, S. and Patel, D. (2018). Towards a Business Model Framework to Increase Collaboration in the Freight Industry. Logistics. 2 (4), p. 22.
Abstract intelligence: Embodying and enabling cognitive systems by mathematical engineering
Patel, S. (2017). Abstract intelligence: Embodying and enabling cognitive systems by mathematical engineering. International Journal of Cognitive Informatics and Natural Intelligence. 11 (1), pp. 1-15.
Electrochemical Membrane Technology for Carbon Dioxide Capture from Flue Gas
Ghezel-Ayagh, H, Jolly, S, Patel, D. and Steen, W (2017). Electrochemical Membrane Technology for Carbon Dioxide Capture from Flue Gas. Energy Procedia. 108, pp. 2-9.
Autonomic Computing Architecture for SCADA Cyber Security
Patel, S., Nazir, S and Patel, D. (2017). Autonomic Computing Architecture for SCADA Cyber Security. International Journal of Cognitive Informatics and Natural Intelligence. 11 (4).
Stimulating intellectual activity with adaptive environment (SMILE)
Gusev, M, Patel, S. and Tasic, J (2017). Stimulating intellectual activity with adaptive environment (SMILE). The 8th Balkan Conference in Informatics. Skopje, Macedonia 20 - 23 Sep 2017 London South Bank University. doi:10.1145/3136273.3136283
Autonomic computing meets SCADA security
Nazir, S, Patel, S. and Patel, D. (2017). Autonomic computing meets SCADA security. 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017. Oxford London South Bank University. pp. 498-502 doi:10.1109/ICCI-CC.2017.8109795
Quantum information processes in protein microtubules of brain neurons
Enaki, NA, Koroli, V, Bazgan, S, Nistreanu, A, Palistrant, S, Bogoev, D, Turcan, M, Pislari, T, Boshneaga, Y, Lambropoulos, N, Patel, S., Khrennikov, A, Marinucci, M, Kwok, SC, Pannese, L, Arniani, M, Torrenti, R, Maslobrod, S, Scherbakov, V, Kuznetsov, E, Moldovanu, I, Misic, O, Odobescu, S, Lupusor, A, Cernei, A, Vovc, V, Arnaut, O, Ciobanu, N, Tuzlucov, P, Kernbach, S, Sorli, A and Anisimov, V (2016). Quantum information processes in protein microtubules of brain neurons. IFMBE Proceedings. 55, pp. 245-249.
Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning
Vargas, A, Boza, A, Patel, S., Patel, D., Cuenca, L and Ortiz, A (2016). Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning. Data and Knowledge Engineering. 105, pp. 5-22.
Risk Management in hierarchical production planning using inter-enterprise architecture
Vargas, A, Boza, A, Patel, S., Patel, D., Cuenca, L and Ortiz, A (2015). Risk Management in hierarchical production planning using inter-enterprise architecture. 16th IFIP Working Conference on Virtual Enterprise (PRO-VE 15). Albi, France 05 - 07 Oct 2015 London South Bank University.