Abstract
The term Industrial Control System (ICS) refers to a variety of systems comprised of computers, electrical and mechanical devices, and manual processes overseen by humans; they perform automated or partially automated control of equipment in manufacturing and chemical plants, electric utilities, distribution and transportation systems and many other industries.
Edward J.M. Colbert - Also ICF International, Inc.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Supervisory Control and Data Acquisition (SCADA) systems are a sub-class of ICSs in which control is performed over multiple, distributed individual lower-level control systems (hence the word “supervisory”). See Chap. 2 for a more detailed discussion of the different types of ICSs.
References
Cardenas, A.A. (2008). Secure control: Towards survivable cyber-physical systems. In The 28th International Conference on Distributed Computing Systems Workshops (pp. 495–500). IEEE.
Executive Order No. 13636. (2013). Improving critical infrastructure cybersecurity. Retrieved from http://www.gpo.gov/fdsys/pkg/FR-2013-02-19/pdf/2013-03915.pdf.
IEC TS 62443-1-1. (2009). Security for industrial automation and control systems—Models and concepts. IEC, International Electrotechnical Commission.
Stouffer, K., Lightman, S., Pillitteri, V., Abrams, M., & Hahn, A. (2015). Guide to industrial control systems (ICS) security. NIST Special Publication 800-82 Revision 2.
Knapp, E. D. (2012). Industrial control systems cybersecurity proof of concept. In Department of Homeland Security Industrial Control Systems Joint Working Group Spring Conference, Savannah, GA.
Krotofil, M. (2015). Rocking the pocket book: Hacking chemical plants. In DefCon Conference, DEFCON.
Langner, R. (2011). Stuxnet: Dissecting a cyberwarfare weapon. IEEE Security & Privacy, 9(3), 49–51.
Lüders, S. (2005). Control systems under attack? 10th ICALEPCS international conference on accelerator and large experimental physics control systems (pp. FR2.4–6O). Geneva: CERN. Retrieved November 8, 2015, from https://accelconf.web.cern.ch/accelconf/ica05/proceedings/pdf/O5_008.pdf.
NIST. (2014). Framework for improving critical infrastructure cybersecurity. NIST, National Institute of Standards and Technology.
Nizar, A.H. (2009). Identification and detection of electricity customer behaviour irregularities. In Nizar, A.H., & Dong, Z.Y. (Eds.), Power systems conference and exposition. PSCE’09. IEEE/PES (pp. 1–10). IEEE.
US Department of Energy. (2002). 21 steps to improve cyber security of SCADA networks. Washington, DC: US Department of Energy. Retrieved from http://energy.gov/sites/prod/files/oeprod/DocumentsandMedia/21_Steps_-_SCADA.pdf.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Kott, A., Aguayo Gonzalez, C., Colbert, E.J.M. (2016). Introduction and Preview. In: Colbert, E., Kott, A. (eds) Cyber-security of SCADA and Other Industrial Control Systems. Advances in Information Security, vol 66. Springer, Cham. https://doi.org/10.1007/978-3-319-32125-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-32125-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32123-3
Online ISBN: 978-3-319-32125-7
eBook Packages: Computer ScienceComputer Science (R0)