Accelerating Homomorphic Encryption In The Cloud Environment Through High Level Synthesis And Reconfigurable Resources
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Accelerating Homomorphic Encryption In The Cloud Environment Through High Level Synthesis And Reconfigurable Resources
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Author : Michael J. Foster
language : en
Publisher:
Release Date : 2017
Accelerating Homomorphic Encryption In The Cloud Environment Through High Level Synthesis And Reconfigurable Resources written by Michael J. Foster and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Cloud computing categories.
"The recent surge in cloud services is revolutionizing the way that data is stored and processed. Everyone with an internet connection, from large corporations to small companies and private individuals, now have access to cutting-edge processing power and vast amounts of data storage. This rise in cloud computing and storage, however, has brought with it a need for a new type of security. In order to have access to cloud services, users must allow the service provider to have full access to their private, unencrypted data. Users are required to trust the integrity of the service provider and the security of its data centers. The recent development of fully homomorphic encryption schemes can offer a solution to this dilemma. These algorithms allow encrypted data to be used in computations without ever stripping the data of the protection of encryption. Unfortunately, the demanding memory requirements and computational complexity of the proposed schemes has hindered their wide-scale use. Custom hardware accelerators for homomorphic encryption could be implemented on the increasing number of reconfigurable hardware resources in the cloud, but the long development time required for these processors would lead to high production costs. This research seeks to develop a strategy for faster development of homomorphic encryption hardware accelerators using the process of High-Level Synthesis. Insights from existing number theory software libraries and custom hardware accelerators are used to develop a scalable, proof-of-concept software implementation of Karatsuba modular polynomial multiplication. This implementation was designed to be used with High-Level Synthesis to accelerate the large modular polynomial multiplication operations required by homomorphic encryption. The accelerator generated from this implementation by the High-Level Synthesis tool Vivado HLS achieved significant speedup over the implementations available in the highly-optimized FLINT software library."--Abstract.
Design Of A Flexible Sch Nhage Strassen Fft Polynomial Multiplier With High Level Synthesis
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Author : Kevin Millar
language : en
Publisher:
Release Date : 2019
Design Of A Flexible Sch Nhage Strassen Fft Polynomial Multiplier With High Level Synthesis written by Kevin Millar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Data encryption (Computer science) categories.
"Homomorphic Encryption (HE) is a promising field because it allows for encrypted data to be sent to and operated on by untrusted parties without the risk of privacy compromise. The benefits and applications of HE are far reaching, especially in regard to cloud computing. However, current HE solutions require resource intensive arithmetic operations such as high precision, high degree polynomial multiplication resulting in a minimum computational complexity of O(n log(n)) on standard CPUs though application of the Fast Fourier Transform (FFT). These operations result in poor overall performance for HE schemes in software and would benefit greatly from hardware acceleration This work aims to accelerate the multi-precision arithmetic operations used in HE with specific focus on an implementation of the Schönhage-Strassen FFT based multiplication algorithm. It is to be incorporated into a larger HE library of arithmetic functions tuned for High Level Synthesis (HLS) that enables flexible solutions for hardware/software systems on reconfigurable cloud resources. Although this project was inspired by HE, it could be incorporated within a generic mathematical library and support other domains. The developed FFT based polynomial multiplier exhibits flexibility in the selection of security parameters facilitating its use in a wide range of HE schemes and applications. The design also displayed substantial speedup over the polynomial multiplication functions implemented in the Number Theory Library (NTL) utilized by software based HE solutions."--Abstract.
On Architecting Fully Homomorphic Encryption Based Computing Systems
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Author : Rashmi Agrawal
language : en
Publisher: Springer Nature
Release Date : 2023-07-24
On Architecting Fully Homomorphic Encryption Based Computing Systems written by Rashmi Agrawal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-24 with Technology & Engineering categories.
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.
Hardware Acceleration For Homomorphic Encryption
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Author : Joël Cathebras
language : en
Publisher:
Release Date : 2018
Hardware Acceleration For Homomorphic Encryption written by Joël Cathebras and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
In this thesis, we propose to contribute to the definition of encrypted-computing systems for the secure handling of private data. The particular objective of this work is to improve the performance of homomorphic encryption. The main problem lies in the definition of an acceleration approach that remains adaptable to the different application cases of these encryptions, and which is therefore consistent with the wide variety of parameters. It is for that objective that this thesis presents the exploration of a hybrid computing architecture for accelerating Fan and Vercauteren's encryption scheme (FV).This proposal is the result of an analysis of the memory and computational complexity of crypto-calculation with FV. Some of the contributions make the adequacy of a non-positional number representation system (RNS) with polynomial multiplication Fourier transform over finite-fields (NTT) more effective. RNS-specific operations, inherently embedding parallelism, are accelerated on a SIMD computing unit such as GPU. NTT-based polynomial multiplications are implemented on dedicated hardware such as FPGA. Specific contributions support this proposal by reducing the storage and the communication costs for handling the NTTs' twiddle factors.This thesis opens up perspectives for the definition of micro-servers for the manipulation of private data based on homomorphic encryption.
Accelerating Fully Homomorphic Encryption Over The Integers
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Author : Ciara Marie Moore
language : en
Publisher:
Release Date : 2015
Accelerating Fully Homomorphic Encryption Over The Integers written by Ciara Marie Moore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Accelerating Secure Computations Under Fully Homomorphic Encryption
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Author : Alhassan Khedr
language : en
Publisher:
Release Date : 2017
Accelerating Secure Computations Under Fully Homomorphic Encryption written by Alhassan Khedr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Fully homomorphic encryption (FHE) systems enable computations on encrypted data without decrypting and without knowledge of the secret key. In this thesis, we describe an optimized RLWE-based and NTRU-based variants of the FHE system recently proposed by Gentry, Sahai and Waters (GSW). Although the GSW system was widely believed to be less efficient than its contemporaries due to the dimensionality of its ciphertext, we demonstrate quite the opposite behavior. We first highlight and carefully exploit the algebraic features of the system to achieve significant speedup over the state-of-the-art FHE implementations, namely the IBM homomorphic encryption library (HElib) and DARPA's SIPHER implementation. We introduce several optimizations on top of our HE implementation, and use the resulting scheme to construct numerous secure applications. We introduce the first high performance Homomorphic Processing Unit (HPU) hardware accelerator. A carefully crafted parallel GPU implementation of our RLWE scheme running on an NVIDIA GeForce GTX980 achieved a speedup factor of 89,700x compared to DARPA's SIPHER v01 baseline implementation. Our single-staged homomorphic processing unit (HPU) hardware accelerator achieved a speedup factor of 57x compared to our GPU implementation. Our NTRU scheme is mathematically 4x more efficient than our RLWE scheme. In total, our NTRU scheme running on one single-staged HPU unit managed to achieve a combined speedup factor of 2x10^7 compared to DARPA's SIPHER v01 baseline implementation, which is twice the performance target originally set by DARPA's PROCEED program to accelerate fully homomorphic encryption. An additional 4.47x speedup can be achieved by implementing a log(n)-staged HPU unit at the cost of 3x the die area. Finally, by exploiting the computational independence in our FHE schemes and applications, a speedup factor of 10^9 can be achieved by distributing independent computations on 50 single-staged HPU units.