Abstract
Critical infrastructures are the backbone of everyday life and their protection from cyber-threats is an increasingly pressing issue for governments and private industries. Not only is effective security costly, the requirements individual critical infrastructures have been often unique, meaning their security systems have to be tailored to match their specific needs. As a result of these factors, simulation can play a key role in the advancement of security measures in a cheap, safe and effective way. In this paper, the development of a distributed support system is presented. The system employs behaviour analysis techniques to support interconnected infrastructures and distribute security advice throughout an interdependent system of systems. The approach is tested through the simulation, which is used to build realistic data from 8 critical infrastructures. The research is inspired by the human immune characteristics.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Laugé, A., Hernantes, J., Sarriegi, J.M.: The role of critical infrastructures’ interdependencies on the impacts caused by natural disasters. In: Luiijf, E., Hartel, P. (eds.) CRITIS 2013. LNCS, vol. 8328, pp. 50–61. Springer, Heidelberg (2013)
E. Commission: Digital agenda: cyber-security experts test defences in first pan-European simulation. European Commission Press Release, November 2010
Davis, C.M., Tate, J.E., Okhravi, H., Grier, C., Overbye, T.J., Nicol, D.: SCADA cyber security testbed development. In: 2006 38th Annual North American Power Symposium, NAPS-2006 Proceedings, pp. 483–488 (2006)
Badri, S., Fergus, P., Hurst, W., Street, B.: Critical infrastructure automated immuno-response system (CIAIRS). In: 3rd International Conference, Malta (2016)
National Institute of Standards and Technology: Framework for improving critical infrastructure cybersecurity. Natl. Inst. Stand. Technol. 1, 1–41 (2014)
Command, D., Leavenworth, F.: Critical infrastructure threats and terrorism. In: DCSINT Handbook No. 1.02, 1st edn., no. 1, Distribution Unlimited (2006)
Yusufovna, F.S., Alisherovich, F.A., Choi, M., Cho, E., Abdurashidovich, F.T., Kim, T.: Research on critical infrastructures and critical information infrastructures. In: 2009 Symposium on Bio-inspired Learning and Intelligent Systems for Security, pp. 97–101 (2009)
Baud, L., Bellot, P.: Securing a critical infrastructure. In 2010 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), pp. 1–4 (2010)
Rinaldi, S.M.: Modeling and simulating critical infrastructures and their interdependencies. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences, 2004, vol. 00, no. C, pp. 1–8 (2004)
Rinaldi, B.S.M., Peerenboom, J.P., Kelly, T.K.: Identifying, understanding, and analyzing: critical infrastructure interdependecies. IEEE Control Syst. 21(6), 11–25 (2001)
Siemens (2011). www.siemens.com/tecnomatix
Lewandowski, C.M., Co-investigator, N., Lewandowski, C.M.: Manufacturing Simulation with Plant Simulation and SimTalk, vol. 1. Springer, Heidelberg (2015)
Asteteh, D., Sarhan, O.: Education and e-Learning Technology. Darwael, Jorden (2007)
Al-esaa, A.: The effect of using simulation implementing strategy through computer teaching assistant in the immediate and delayed achievement, Jorden (1993)
Smith, R.: Simulation: the engine behind the virtual world. Smulation 2000 Ser., vol. 1, pp. 1–24 (1999)
Hurst, W., Merabti, M., Fergus, P.: Behavioural observation for critical infra-structure support. In: 13th Annual Postgraduate Symposium on the Convergence of Tele-communications, Networking and Broadcasting (2012)
Idowu, I.O., Fergus, P., Hussain, A., Dobbins, C., Al-Askar, H.: Advance artificial neural network classification techniques using EHG for detecting preterm births. In: 2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems, pp. 95–100 (2014)
Fergus, P., Cheung, P., Hussain, A., Al-Jumeily, D., Dobbins, C., Iram, S.: Prediction of preterm deliveries from EHG signals using machine learning. PLoS ONE 8(10), e77154 (2013)
Lotte, F.: Study of electroencephalographic signal processing and classification techniques towards the use of brain-computer interfaces in virtual reality applications (2008)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Badri, S., Fergus, P., Hurst, W. (2016). A Support Network for Distributed Systems. In: El Rhalibi, A., Tian, F., Pan, Z., Liu, B. (eds) E-Learning and Games. Edutainment 2016. Lecture Notes in Computer Science(), vol 9654. Springer, Cham. https://doi.org/10.1007/978-3-319-40259-8_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-40259-8_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40258-1
Online ISBN: 978-3-319-40259-8
eBook Packages: Computer ScienceComputer Science (R0)