| EPSRC Reference: |
EP/V008870/1 |
| Title: |
TAPS: Assessing, Mitigating and Raising Awareness of the Security and Privacy Risks of Thermal Imaging |
| Principal Investigator: |
Khamis, Dr M |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
School of Computing Science |
| Organisation: |
University of Glasgow |
| Scheme: |
New Investigator Award |
| Starts: |
01 April 2021 |
Ends: |
15 December 2023 |
Value (£): |
262,119
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Human-Computer Interactions |
| Image & Vision Computing |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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03 Aug 2020
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EPSRC ICT Prioritisation Panel August 2020
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Announced
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Summary on Grant Application Form |
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Thermal imaging technologies are continuously becoming more affordable and accessible to everyone. Today, a thermal camera can be bought for less than £150. Thermal imaging can be used maliciously to infer the user input on keyboards and touchscreens. For example, taking a thermal image of a keyboard after a user has interacted with it reveals recent input such as passwords, or sensitive messages. This project aims to 1) assess the viability of thermal attacks in everyday computer and mobile usage scenarios, 2) develop and evaluate methods for resisting them on desktop and mobile settings, and 3) raise awareness about this threat and possible countermeasures through impact activities that engage with Logitech, a major manufacturer of input peripherals, and local partners such as CENSIS. This project will produce 1) a dataset of thermal images for research on thermal attacks, 2) empirical findings that explain which factors impact the effectiveness of thermal attacks in realistic everyday scenarios in desktop and mobile settings, 3) recommendations for users and manufacturers for resisting thermal attacks on touchscreens and keyboards, 4) a novel machine learning model to be used by researchers and practitioners to analyse the effectiveness of thermal attacks and evaluate countermeasures, 5) a novel machine learning model that predicts vulnerability to thermal attacks and tools that use it to mitigate the risk, and 6) material to raise awareness about thermal attacks and possible countermeasures.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.gla.ac.uk |