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Enhancing Cyber Resilience Securing Governmental Applications for Citizens: Computational Analysis

  • Yusuf Babayusuf
  • , Debby Bouma
  • , Anastasia Feteasco
  • , Lowna van Hekezen
  • , Jane Vasov
  • , Natalia Zwarts
  • , Jan Treur*
  • , Peter H.M.P. Roelofsma
  • *Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

Cyber resilience is a very important concept in modern society. Vulnerabilities usually come with serious risks for organisations and citizens. Using cyber risk models can lead to the development of protective measures and enhance preparedness of likely scenarios. Human factors play an important role in the complex dynamic processes involved, where also adaptivity is a crucial ingredient. This paper contributes a computational analysis from an adaptive dynamical system perspective of the digital landscape of The Hague municipality, focusing on the interaction between citizens and local government. The focus is on a case study for the pathway from DigiD to Parking. To assess the cybersecurity of the interaction, cyber deterrence through cyber controls is covered. An adaptive network model is introduced to model the adaptive dynamical system that describes the interaction. What-If analysis is addressed and based on this risk assessment is performed, from which recommendations have been obtained.

Original languageEnglish
Title of host publicationApplied Intelligence
Subtitle of host publicationSecond International Conference, ICAI 2024, Zhengzhou, China, November 22–25, 2024, Proceedings, Part I
EditorsDe-Shuang Huang, Wei Chen, Chuanlei Zhang, Yijie Pan, Qinhu Zhang, Xiangzeng Kong
PublisherSpringer Nature
Pages283-294
Number of pages12
Volume1
ISBN (Electronic)9789819619078
ISBN (Print)9789819619061
DOIs
Publication statusPublished - 2025
Event2nd International Conference on Applied Intelligence, ICAI 2024 - Zhenzhou, China
Duration: 22 Nov 202425 Nov 2024

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume2387 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937
NameICAI: International Conference on Applied Intelligence
PublisherSpringer
Volume2024

Conference

Conference2nd International Conference on Applied Intelligence, ICAI 2024
Country/TerritoryChina
CityZhenzhou
Period22/11/2425/11/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Keywords

  • Adaptive
  • Citizens
  • Cyber Resilience
  • Governmental Applications
  • Network model

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