Privacy protection in cloud computing with homomorphic encryption

Homomorphic encryption is a technique that allows the computation of data on the cloud which does not require any decryption of data. This encryption leads to increasing in the security of data as outsiders only able to obtain the encrypted data. However, recent homomorphic encryption scheme was run...

Full description

Saved in:
Bibliographic Details
Main Author: Khor, Chin Yeow
Other Authors: Chang Chip Hong
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78554
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-78554
record_format dspace
spelling sg-ntu-dr.10356-785542023-07-07T15:54:00Z Privacy protection in cloud computing with homomorphic encryption Khor, Chin Yeow Chang Chip Hong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Homomorphic encryption is a technique that allows the computation of data on the cloud which does not require any decryption of data. This encryption leads to increasing in the security of data as outsiders only able to obtain the encrypted data. However, recent homomorphic encryption scheme was running very slow, which had drastically decrease in its performance. There are a lot of approaches on increase the speed of encryption to increase its performance and become more practical. One of the approaches is by using FPGA (Field-Programmable Gate Array) board. The FPGA is an integrated circuit that being design and configured by a designer or customer after manufacturing, hence come with the term “field-programmable”. The FPGA have large resources of logic gate and block RAM and advantage of pipeline architecture for parallel computation. This project will focus on the implementation of homomorphic encryption on FPGA board. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-21T07:28:24Z 2019-06-21T07:28:24Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78554 en Nanyang Technological University 52 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Khor, Chin Yeow
Privacy protection in cloud computing with homomorphic encryption
description Homomorphic encryption is a technique that allows the computation of data on the cloud which does not require any decryption of data. This encryption leads to increasing in the security of data as outsiders only able to obtain the encrypted data. However, recent homomorphic encryption scheme was running very slow, which had drastically decrease in its performance. There are a lot of approaches on increase the speed of encryption to increase its performance and become more practical. One of the approaches is by using FPGA (Field-Programmable Gate Array) board. The FPGA is an integrated circuit that being design and configured by a designer or customer after manufacturing, hence come with the term “field-programmable”. The FPGA have large resources of logic gate and block RAM and advantage of pipeline architecture for parallel computation. This project will focus on the implementation of homomorphic encryption on FPGA board.
author2 Chang Chip Hong
author_facet Chang Chip Hong
Khor, Chin Yeow
format Final Year Project
author Khor, Chin Yeow
author_sort Khor, Chin Yeow
title Privacy protection in cloud computing with homomorphic encryption
title_short Privacy protection in cloud computing with homomorphic encryption
title_full Privacy protection in cloud computing with homomorphic encryption
title_fullStr Privacy protection in cloud computing with homomorphic encryption
title_full_unstemmed Privacy protection in cloud computing with homomorphic encryption
title_sort privacy protection in cloud computing with homomorphic encryption
publishDate 2019
url http://hdl.handle.net/10356/78554
_version_ 1772826989937295360