A hybrid threat model for smart systems
A hybrid threat model for smart systems
Cyber-physical systems and their smart components have a pervasive presence in all our daily activities. Unfortunately, identifying the potential threats and issues in these systems and selecting enough protection is challenging given that such environments combine human, physical and cyber aspects to the system design and implementation. Current threat models and analysis do not take into consideration all three aspects of the analyzed system, how they can introduce new vulnerabilities or protection measures to each other. In this work, we introduce a novel threat model for cyber-physical systems that combines the cyber, physical, and human aspects. Our model represents the system's components relations and security properties by taking into consideration these three aspects. Together with the threat model we also propose a threat analysis method that allows understanding the security state of the system's components. The threat model and the threat analysis have been implemented into an automatic tool, called TAMELESS, that automatically analyzes threats to the system, verifies its security properties, and generates a graphical representation, useful for security architects to identify the proper prevention/mitigation solutions. We show and prove the use of our threat model and analysis with three cases studies from different sectors.
4403-4417
Valenza, Fulvio
902d4a08-509e-49d6-9001-bae2b69b9bf0
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Vieira Steiner, Rodrigo
85bb7442-7717-46cc-a7a0-516ada13fed2
Lupu, Emil C.
86da837c-861b-4062-ad16-cf16e4984f3d
10 November 2022
Valenza, Fulvio
902d4a08-509e-49d6-9001-bae2b69b9bf0
Karafili, Erisa
f5efa31c-22b8-443e-8107-e488bd28918e
Vieira Steiner, Rodrigo
85bb7442-7717-46cc-a7a0-516ada13fed2
Lupu, Emil C.
86da837c-861b-4062-ad16-cf16e4984f3d
Valenza, Fulvio, Karafili, Erisa, Vieira Steiner, Rodrigo and Lupu, Emil C.
(2022)
A hybrid threat model for smart systems.
IEEE Transactions on Dependable and Secure Computing, 20 (5), .
(doi:10.1109/TDSC.2022.3213577).
Abstract
Cyber-physical systems and their smart components have a pervasive presence in all our daily activities. Unfortunately, identifying the potential threats and issues in these systems and selecting enough protection is challenging given that such environments combine human, physical and cyber aspects to the system design and implementation. Current threat models and analysis do not take into consideration all three aspects of the analyzed system, how they can introduce new vulnerabilities or protection measures to each other. In this work, we introduce a novel threat model for cyber-physical systems that combines the cyber, physical, and human aspects. Our model represents the system's components relations and security properties by taking into consideration these three aspects. Together with the threat model we also propose a threat analysis method that allows understanding the security state of the system's components. The threat model and the threat analysis have been implemented into an automatic tool, called TAMELESS, that automatically analyzes threats to the system, verifies its security properties, and generates a graphical representation, useful for security architects to identify the proper prevention/mitigation solutions. We show and prove the use of our threat model and analysis with three cases studies from different sectors.
Text
A hybrid threat model for smart systems
- Accepted Manuscript
More information
Published date: 10 November 2022
Identifiers
Local EPrints ID: 491862
URI: http://eprints.soton.ac.uk/id/eprint/491862
ISSN: 1545-5971
PURE UUID: e854db6b-ab16-4184-93c0-d79bce206ce3
Catalogue record
Date deposited: 04 Jul 2024 17:25
Last modified: 12 Jul 2024 02:05
Export record
Altmetrics
Contributors
Author:
Fulvio Valenza
Author:
Erisa Karafili
Author:
Rodrigo Vieira Steiner
Author:
Emil C. Lupu
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics