entropIC | Anticounterfeiting solution based on integrated circuits implementing high-entropy physical unclonable functions

Summary
The EntropIC project aims to advance the technology and market maturity of a comprehensive anti-counterfeiting and identity management solution based on proprietary silicon integrated circuits implementing high-entropy physical unclonable functions.
Physical Unclonable Functions (PUFs) are silicon integrated circuits that leverage random variations in the fabrication process to implement a unique function that is unknown to the observer and the manufacturer, and extremely difficult to determine experimentally. From a behavioral viewpoint, PUFs are circuits that respond to digital input strings (challenges) with perfectly repeatable digital output strings (responses), where the challenge-response mapping (the unclonable function) is fully repeatable with aging and with varying environmental conditions. As of now, the practical adoption of PUFs has been restricted by their limited entropy, which makes them vulnerable to cyber attacks (e.g. brute-force and AI-based attacks).
EntropIC proposes innovative high-entropy silicon PUFs, with world-record resilience to brute force, AI-based, and side-channel attacks. The breakthrough EntropIC PUF is a “strong” PUF with at least 2 Mbit of entropy, thanks to mixed analog/digital chip design, whereas PUFs available in the market now are of the “weak” type and have maximum entropy of 4 Kbit.
The novelty of the high-entropy PUFs proposed in EntropIC, enables us new applications and a different business model. Instead of selling chips or licensing IP, we target a business model that provides a fully managed solution to an industrial customer that needs to defend its brand from counterfeiting, or to deploy and manager secure internet of things devices.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101159364
Start date: 01-07-2024
End date: 30-06-2027
Total budget - Public funding: 2 498 750,00 Euro - 2 498 750,00 Euro
Cordis data

Original description

The EntropIC project aims to advance the technology and market maturity of a comprehensive anti-counterfeiting and identity management solution based on proprietary silicon integrated circuits implementing high-entropy physical unclonable functions.
Physical Unclonable Functions (PUFs) are silicon integrated circuits that leverage random variations in the fabrication process to implement a unique function that is unknown to the observer and the manufacturer, and extremely difficult to determine experimentally. From a behavioral viewpoint, PUFs are circuits that respond to digital input strings (challenges) with perfectly repeatable digital output strings (responses), where the challenge-response mapping (the unclonable function) is fully repeatable with aging and with varying environmental conditions. As of now, the practical adoption of PUFs has been restricted by their limited entropy, which makes them vulnerable to cyber attacks (e.g. brute-force and AI-based attacks).
EntropIC proposes innovative high-entropy silicon PUFs, with world-record resilience to brute force, AI-based, and side-channel attacks. The breakthrough EntropIC PUF is a “strong” PUF with at least 2 Mbit of entropy, thanks to mixed analog/digital chip design, whereas PUFs available in the market now are of the “weak” type and have maximum entropy of 4 Kbit.
The novelty of the high-entropy PUFs proposed in EntropIC, enables us new applications and a different business model. Instead of selling chips or licensing IP, we target a business model that provides a fully managed solution to an industrial customer that needs to defend its brand from counterfeiting, or to deploy and manager secure internet of things devices.

Status

SIGNED

Call topic

HORIZON-EIC-2023-TRANSITIONOPEN-01

Update Date

21-11-2024
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Horizon Europe
HORIZON.3 Innovative Europe
HORIZON.3.1 The European Innovation Council (EIC)
HORIZON.3.1.0 Cross-cutting call topics
HORIZON-EIC-2023-TRANSITION-01
HORIZON-EIC-2023-TRANSITIONOPEN-01 Transition Open 2023