On Architecting Fully Homomorphic Encryption-based Computing Systems
Produktnummer:
1882d91eb5fbdb4ddaa4b4456a1ac61f78
| Autor: | Agrawal, Rashmi Joshi, Ajay |
|---|---|
| Themengebiete: | CKKS scheme Compute challenges in FHE Homomorphic encryption Machine learning on private data Privacy-preserving computing |
| Veröffentlichungsdatum: | 25.07.2023 |
| EAN: | 9783031317538 |
| Sprache: | Englisch |
| Seitenzahl: | 76 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "On Architecting Fully Homomorphic Encryption-based Computing Systems"
This book provides an introduction to the key concepts of Fully Homomorphic Encryption (FHE)-based computing, and discusses the challenges associated with architecting FHE-based computing systems. Readers will see that due to FHE’s ability to compute on encrypted data, it is a promising solution to address privacy concerns arising from cloud-based services commonly used for a variety of applications including healthcare, financial, transportation, and weather forecasting. This book explains the fundamentals of the FHE operations and then presents an architectural analysis of the FHE-based computing. The authors also highlight challenges associated with accelerating FHE on various commodity platforms and argue that the FPGA platform provides a sweet spot in making privacy-preserving computing plausible.
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