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On Architecting Fully Homomorphic Encryption-based Computing Systems

Om 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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  • Språk:
  • Engelska
  • ISBN:
  • 9783031317538
  • Format:
  • Inbunden
  • Sidor:
  • 88
  • Utgiven:
  • 25. juli 2023
  • Utgåva:
  • 23001
  • Mått:
  • 173x11x246 mm.
  • Vikt:
  • 340 g.
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Leveranstid: Okänt - saknas för närvarande

Beskrivning av 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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