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Identifying critical infrastructure sectors and their dependencies: An Indian scenario

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  • Singh, Abhishek Narain
  • Gupta, M.P.
  • Ojha, Amitabh

Abstract

Across the globe, critical infrastructures constantly face the risk of cyber and/or other attacks from hostile and malicious entities as well as damage inflicted by natural disasters. This paper seeks to identify the critical infrastructure sectors of a country, namely India, and to explore the dependencies existing among them. The research draws on the extant literature as well as expert opinion and judgments to identify the critical infrastructure sectors. Following this, the interpretive structural modeling (ISM) technique is employed to discover the relationships and dependencies existing among the identified critical infrastructure sectors. Next, cross-impact matrix multiplication applied to classification (MICMAC) analysis is used to categorize the critical infrastructure sectors into four sub-groups based on their driving power and dependence on other sectors. Policy implications for government entities and businesses in India are also discussed.

Suggested Citation

  • Singh, Abhishek Narain & Gupta, M.P. & Ojha, Amitabh, 2014. "Identifying critical infrastructure sectors and their dependencies: An Indian scenario," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(2), pages 71-85.
    • Handle: RePEc:eee:ijocip:v:7:y:2014:i:2:p:71-85
    DOI: 10.1016/j.ijcip.2014.04.003
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    Cited by:

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    3. Rehak, David & Markuci, Jiri & Hromada, Martin & Barcova, Karla, 2016. "Quantitative evaluation of the synergistic effects of failures in a critical infrastructure system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 14(C), pages 3-17.
    4. Rao, Yerra Shankar & Keshri, Ajit Kumar & Mishra, Bimal Kumar & Panda, Tarini Charana, 2020. "Distributed denial of service attack on targeted resources in a computer network for critical infrastructure: A differential e-epidemic model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    5. Nicholas Valcourt & Jeffrey Walters & Amy Javernick-Will & Karl Linden & Betelhem Hailegiorgis, 2020. "Understanding Rural Water Services as a Complex System: An Assessment of Key Factors as Potential Leverage Points for Improved Service Sustainability," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    6. Bhandari, Pratik & Creighton, Douglas & Gong, Jinzhe & Boyle, Carol & Law, Kris M.Y., 2023. "Evolution of cyber-physical-human water systems: Challenges and gaps," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    7. Hassan Al-Zarooni & Hamdi Bashir, 0. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-23.
    8. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching & Tzeng, Gwo-Hshiung, 2020. "A new soft computing approach for analyzing the influential relationships of critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    9. Hassan Al-Zarooni & Hamdi Bashir, 2020. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1204-1226, December.
    10. Naim Ahmad & Ayman Qahmash, 2021. "SmartISM: Implementation and Assessment of Interpretive Structural Modeling," Sustainability, MDPI, vol. 13(16), pages 1-27, August.

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