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Uppsats

Privacy preserving biometrics authentication in IoT devices using homomorphic encryption

Master-uppsats

Seid, Amir Dawd

Lunds universitet/Institutionen för elektro- och informationsteknik

Publicerad: 2024

Språk: Engelska

Nyckelord

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⌕Technology and Engineering⌕Privacy-preserving⌕Homomorphic Encryption⌕OpenCV⌕Biometric authentication⌕CKKS⌕Microsoft SEAL⌕DeepFace

Sammanfattning

This thesis investigates the application of the Cheon-Kim-Kim-Song (CKKS) scheme in designing a privacy-preserving biometric authentication system in line with ISO 24745:2022 standard. Utilizing the Microsoft SEAL library the thesis integrates state-of-the-art facial recognition models to design client-to-cloud and cloud-to-client authentication systems. The solution is implemented in C++ and is tailored for IoT devices with constrained resources as a client while leveraging cloud computing for scalability and enhanced computational power. Given optimal security parameters, the implementation demonstrates that the system can authenticate users within five seconds.

Information

Författare
Seid, Amir Dawd
Lärosäte / institution
Lunds universitet/Institutionen för elektro- och informationsteknik
Publiceringsdatum
2024
Uppsatstyp
Master-uppsats
Språk
Engelska
Nyckelord
⌕Technology and Engineering⌕Privacy-preserving⌕Homomorphic Encryption⌕OpenCV⌕Biometric authentication⌕CKKS⌕Microsoft SEAL⌕DeepFace

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