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University of South Wales

Enhanced Industrial Control Systems Security: A Knowledge-Based Approach for Mitigating Socio-Technical Risks

Abstract

dc:description.abstract

Industrial Control Systems (ICS) face growing risks from socio-technical factors, necessitating effective risk assessment methodologies and cyber security frameworks. This thesis aims to address these challenges by proposing a knowledge-based system that identifies the best-fit risk assessment methodology and cyber security framework for reducing risks to ICS. By combining domain expertise, artificial intelligence, and risk management principles, the proposed system offers a comprehensive approach to enhance ICS security and minimize vulnerabilities arising from socio-technical factors. This research contributes to the development of a robust risk management framework tailored to the unique characteristics of ICS environments, providing practitioners with valuable insights for securing critical infrastructure.

Degree

thesis:*
Name dc:type.qualificationname
Doctoral Thesis
Level dc:type.qualificationlevel
Student thesis
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Smith, Kim
Advisors dc:contributor.advisor
  • Wilson, Ian
  • Llewellyn, Eric

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
oai:pure.atira.dk:studenttheses/985a87da-6fcf-4fa9-8d48-1fa62ece8c2c
OAI identifier oai:identifier
oai:pure.atira.dk:studenttheses/985a87da-6fcf-4fa9-8d48-1fa62ece8c2c

Chain of custody

source
Harvested from
University of South Wales
Base URL
pure.southwales.ac.uk/ws/oai
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Smith, Kim. Enhanced Industrial Control Systems Security: A Knowledge-Based Approach for Mitigating Socio-Technical Risks. Student thesis thesis, 2024. https://pure.southwales.ac.uk/en/studentTheses/985a87da-6fcf-4fa9-8d48-1fa62ece8c2c