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Modelling Organizational Recovery

Caulfield, T; Ilau, M-C; Pym, D; (2022) Modelling Organizational Recovery. In: International Conference on Simulation Tools and Techniques SIMUtools 2021: Simulation Tools and Techniques. (pp. pp. 284-314). Springer, Cham Green open access

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Abstract

Organizations today face a significant set of sophisticated information security threats, including rapidly spreading malware that can affect many devices across the organization. The impacts of such attacks are amplified by customers’ rising expectations of high-quality and rapid delivery of products and services, as well as by organizational attempts to increase demand artificially. This leads to the development of defence mechanisms that prioritize availability and integrity for the sake of reducing the overall time of organizational recovery. However, such mechanisms and strategies around recovery must suit the organization that deploys them. Each organization will have different priorities in terms of budget, speed of recovery, and priority of services or devices, and all of these will be impacted by the architecture of the organization and its networks. In this paper, we show how modelling can play a role in helping organizations understand the consequences of the different recovery mechanisms and strategies available to them. We describe a rigorous modelling framework and methodology grounded in mathematical systems modelling and simulation, and present as an example a comparative analysis of recovery strategies and mechanisms on a medium-scale organization.

Type: Proceedings paper
Title: Modelling Organizational Recovery
Event: International Conference on Simulation Tools and Techniques :13th SIMUtools 2021
Location: Xuzhou, People's Republic of China
Dates: 05 November 2021 - 06 November 2021
ISBN-13: 978-3-030-97124-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-97124-3_23
Publisher version: https://doi.org/10.1007/978-3-030-97124-3_23
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: Distributed systems, Malware, Modelling, Recovery, Compositionality, Interfaces, Organizations
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10136724
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