CHAI: Cyber Hygiene in AI enabled domestic life
Lead Research Organisation:
Queen Mary University of London
Department Name: Sch of Electronic Eng & Computer Science
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
| Pasquale Malacaria (Principal Investigator) |
Publications
Zhang Y
(2023)
Keep Spending: Beyond Optimal Cyber-Security Investment
Zhang Y
(2023)
CROSS: A framework for cyber risk optimisation in smart homes
in Computers & Security
| Description | A key finding is the important role that service providers of smart home devices play in addressing the security and privacy risks of home users. The project aims to work with service providers to encourage the implementation of secure design and development practices, as well as provide support for ongoing security monitoring and updating of devices. We have developed mathematical models, based on game theory, for this security interaction between home users and service providers. We have also introduced a novel mathematical methodology that goes beyond the classical game theoretical solution, in the sense of providing an extension of the game theoretical solution with additional security controls (article "Keep spending: Beyond optimal cyber-security investment"). This methodology first return the game solution (optimal solution), then the "second best solution", and so on until cybersecurity budget is exhausted. |
| Exploitation Route | The findings could be used by service providers to improve the security of smart home devices. Most of the work is aimed at researchers in the area, providing them with a scientific methodology for cyber security investment. |
| Sectors | Digital/Communication/Information Technologies (including Software) Security and Diplomacy |