語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
FindBook
Google Book
Amazon
博客來
An Enhanced Fully Homomorphic Encryption Scheme for Cloud Computing Using Residue Number System.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
An Enhanced Fully Homomorphic Encryption Scheme for Cloud Computing Using Residue Number System./
作者:
Shuaib, Hauwa Tope.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
73 p.
附註:
Source: Masters Abstracts International, Volume: 83-01.
Contained By:
Masters Abstracts International83-01.
標題:
Computer science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28540792
ISBN:
9798516067273
An Enhanced Fully Homomorphic Encryption Scheme for Cloud Computing Using Residue Number System.
Shuaib, Hauwa Tope.
An Enhanced Fully Homomorphic Encryption Scheme for Cloud Computing Using Residue Number System.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 73 p.
Source: Masters Abstracts International, Volume: 83-01.
Thesis (M.S.)--Kwara State University (Nigeria), 2021.
This item must not be sold to any third party vendors.
Cloud computing refers to the provision of computational resources on demand via a computer network. Homomorphic encryption is a form of encryption that allows computation on ciphertexts, generating an encrypted result which when decrypted, matches the result of the operations as if they had been performed on the plaintext. Fully Homomorphic Encryption (FHE) allows computation of encrypted data on the cloud without revealing the content of the encrypted data thereby ensuring confidentiality. However, existing FHE implementations remain impractical due to very high time and resource costs. Hence, an enhanced FHE based residue number system on cloud computing platform is proposed. In order to design an enhanced FHE for cloud computing applications, three stages are involved. The first stage was forward conversion where the conventional numbers are converted to residue numbers, then the Chinese remainder theorem is initialized to securely convert the residue numbers back to conventional numbers and lastly, the paillier algorithm is enhanced by incorporating the residue number based on the moduli set (2n +1, 2n − 1, 2n−1). This work was implemented on jspaillier library which is a JavaScript implementation of the Paillier crypto system which supports Key generation. The performance evaluation of this design was carried out on jspaillier library and it was evaluated in terms of computational time and space. Results obtained show that our proposed scheme was able to reduce the computational time by 98% and computational space by 99% respectively which makes this work to achieve about 99% speed up together with less hardware requirements which outperforms other related best known state of the arts.
ISBN: 9798516067273Subjects--Topical Terms:
523869
Computer science.
Subjects--Index Terms:
Cloud computing
An Enhanced Fully Homomorphic Encryption Scheme for Cloud Computing Using Residue Number System.
LDR
:02896nmm a2200361 4500
001
2342213
005
20211209144712.5
008
241004s2021 ||||||||||||||||| ||eng d
020
$a
9798516067273
035
$a
(MiAaPQ)AAI28540792
035
$a
AAI28540792
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Shuaib, Hauwa Tope.
$3
3680529
245
1 3
$a
An Enhanced Fully Homomorphic Encryption Scheme for Cloud Computing Using Residue Number System.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2021
300
$a
73 p.
500
$a
Source: Masters Abstracts International, Volume: 83-01.
500
$a
Advisor: Gbolagade, Kazeem A.;Babatunde, Ronke S.
502
$a
Thesis (M.S.)--Kwara State University (Nigeria), 2021.
506
$a
This item must not be sold to any third party vendors.
520
$a
Cloud computing refers to the provision of computational resources on demand via a computer network. Homomorphic encryption is a form of encryption that allows computation on ciphertexts, generating an encrypted result which when decrypted, matches the result of the operations as if they had been performed on the plaintext. Fully Homomorphic Encryption (FHE) allows computation of encrypted data on the cloud without revealing the content of the encrypted data thereby ensuring confidentiality. However, existing FHE implementations remain impractical due to very high time and resource costs. Hence, an enhanced FHE based residue number system on cloud computing platform is proposed. In order to design an enhanced FHE for cloud computing applications, three stages are involved. The first stage was forward conversion where the conventional numbers are converted to residue numbers, then the Chinese remainder theorem is initialized to securely convert the residue numbers back to conventional numbers and lastly, the paillier algorithm is enhanced by incorporating the residue number based on the moduli set (2n +1, 2n − 1, 2n−1). This work was implemented on jspaillier library which is a JavaScript implementation of the Paillier crypto system which supports Key generation. The performance evaluation of this design was carried out on jspaillier library and it was evaluated in terms of computational time and space. Results obtained show that our proposed scheme was able to reduce the computational time by 98% and computational space by 99% respectively which makes this work to achieve about 99% speed up together with less hardware requirements which outperforms other related best known state of the arts.
590
$a
School code: 2005.
650
4
$a
Computer science.
$3
523869
650
4
$a
Information technology.
$3
532993
650
4
$a
Cryptography.
$3
532586
650
4
$a
Internet.
$3
527226
650
4
$a
Network security.
$3
3680530
650
4
$a
Software services.
$3
3680531
650
4
$a
Utility computing.
$3
3680532
650
4
$a
Digital signal processors.
$3
3680533
650
4
$a
Privacy.
$3
528582
650
4
$a
Servers.
$3
3220915
650
4
$a
Expenditures.
$3
3556049
650
4
$a
High speed.
$3
3562482
650
4
$a
Distributed processing.
$3
3680534
650
4
$a
End users.
$3
3680535
650
4
$a
Number systems.
$3
3680527
650
4
$a
Computer networks.
$3
539554
650
4
$a
Confidentiality.
$3
736289
650
4
$a
Multiplication & division.
$3
3680536
650
4
$a
Data encryption.
$3
3680528
650
4
$a
Algorithms.
$3
536374
650
4
$a
Libraries.
$3
525303
650
4
$a
Cloud computing.
$3
1016782
653
$a
Cloud computing
653
$a
Encryption
653
$a
Hormorphic
653
$a
Residue number system
653
$a
Fully Homomorphic Encryption
690
$a
0984
690
$a
0489
710
2
$a
Kwara State University (Nigeria).
$b
College of Information and Communication Technology.
$3
3540191
773
0
$t
Masters Abstracts International
$g
83-01.
790
$a
2005
791
$a
M.S.
792
$a
2021
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28540792
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9464651
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入