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Managing Human Factors

Giacomello, G; Pescaroli, G; (2019) Managing Human Factors. In: Kott, A and Linkov, I, (eds.) Cyber Resilience of Systems and Networks. (pp. 247-263). Springer: Cham, Switzerland. Green open access

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Abstract

For critical infrastructures (CI), technology solutions have been the preferred choice so far. Yet, the human component of CI could be the primary cause of events causing a less than resilient performance of a CI system. This chapter introduces a systemic approach that contextualizes cascading dynamics in the vulnerability of both technological and human elements. It is followed by a description of the evolution of critical infrastructure and management, envisioned as root causes of cascades effects, and explains the role of the human factor in that process. This chapter highlights why investments in technological resilience of cyber assets cannot do without the integration of its human component. Indeed, consensus is growing among security experts that the weakest link in the security chain is the human being, whether as users, customers, administrators, or managers. The technological progress needs to be followed step by step by improvements in users/operators’ skills and routines, adjusting their ability to improvise and resilience.

Type: Book chapter
Title: Managing Human Factors
ISBN-13: 978-3-319-77491-6
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-77492-3_11
Publisher version: https://doi.org/10.1007/978-3-319-77492-3_11
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Critical infrastructures, Cyber attacks, Cascading disasters, Vulnerability, Resilience, Human factor, SCADA
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/10070496
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