A rigorous tool-supported methodology for assuring the security and safety of cyber-physical systems
A rigorous tool-supported methodology for assuring the security and safety of cyber-physical systems
The increased usage of cyber-physical systems in a number of domains poses a unique
challenge: how can one be assured of both the security and safety of these systems?
While there are a large number of methodologies in the literature for performing security
analysis or safety analysis, many of these are not specific to cyber-physical systems and
the challenges these pose. Attempts at producing methodologies for security & safety
co-analysis have equally met difficulties in terms of reconciling the different approaches
and terminology often used by the separate domains.
One solution involves the development of a systems theory-based model for understanding
how safety, security & other emergent behaviours of systems can be framed and
understood. Such an understanding can then be used in a systematic methodology for
performing co-analysis in a structured and robust way.
This thesis presents a methodology called Security-Enhanced Systems-Theoretic Process
Analysis (SE-STPA), based on an underlying model known as Systems-Theoretic Accident
& Attack Model and Processes (STAAMP), which combines safety and security
analysis into one unified co-analysis method. It represents an evolution on existing work
in safety by Leveson [90] and attempts to address several shortfalls of the existing approach
in regards to security. SE-STPA is presented with two case studies that were
utilised to evolve the methodology into a mature state. Finally, this thesis presents a
discussion on future improvements that could be undertaken to develop the methodology
further.
University of Southampton
Howard, Giles
8be3e4df-abc3-4277-ad00-918d4089b8c1
28 December 2019
Howard, Giles
8be3e4df-abc3-4277-ad00-918d4089b8c1
Butler, Michael
54b9c2c7-2574-438e-9a36-6842a3d53ed0
Howard, Giles
(2019)
A rigorous tool-supported methodology for assuring the security and safety of cyber-physical systems.
University of Southampton, Doctoral Thesis, 270pp.
Record type:
Thesis
(Doctoral)
Abstract
The increased usage of cyber-physical systems in a number of domains poses a unique
challenge: how can one be assured of both the security and safety of these systems?
While there are a large number of methodologies in the literature for performing security
analysis or safety analysis, many of these are not specific to cyber-physical systems and
the challenges these pose. Attempts at producing methodologies for security & safety
co-analysis have equally met difficulties in terms of reconciling the different approaches
and terminology often used by the separate domains.
One solution involves the development of a systems theory-based model for understanding
how safety, security & other emergent behaviours of systems can be framed and
understood. Such an understanding can then be used in a systematic methodology for
performing co-analysis in a structured and robust way.
This thesis presents a methodology called Security-Enhanced Systems-Theoretic Process
Analysis (SE-STPA), based on an underlying model known as Systems-Theoretic Accident
& Attack Model and Processes (STAAMP), which combines safety and security
analysis into one unified co-analysis method. It represents an evolution on existing work
in safety by Leveson [90] and attempts to address several shortfalls of the existing approach
in regards to security. SE-STPA is presented with two case studies that were
utilised to evolve the methodology into a mature state. Finally, this thesis presents a
discussion on future improvements that could be undertaken to develop the methodology
further.
Text
A rigorous tool-supported methodology for assuring the security and safety of cyber-physical systems
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More information
Published date: 28 December 2019
Identifiers
Local EPrints ID: 437677
URI: http://eprints.soton.ac.uk/id/eprint/437677
PURE UUID: a98bfdef-3586-44ff-9f09-5b9b649c2419
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Date deposited: 11 Feb 2020 17:30
Last modified: 17 Mar 2024 02:42
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Contributors
Author:
Giles Howard
Thesis advisor:
Michael Butler
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