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Enhanced Symmetric Based Fully Homomorphic Encryption Using Residue Number System.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Enhanced Symmetric Based Fully Homomorphic Encryption Using Residue Number System./
Author:	Jimoh, Muhammed Kamaldeen.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	172 p.
Notes:	Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
Contained By:	Dissertations Abstracts International82-12B.
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28542710
ISBN:	9798515256272

Enhanced Symmetric Based Fully Homomorphic Encryption Using Residue Number System.
Jimoh, Muhammed Kamaldeen.

Enhanced Symmetric Based Fully Homomorphic Encryption Using Residue Number System. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 172 p.

Source: Dissertations Abstracts International, Volume: 82-12, Section: B.

Thesis (Ph.D.)--Kwara State University (Nigeria), 2021.

This item must not be sold to any third party vendors.

Cloud Computing has offered incredible benefits to online information management. However, data protection and privacy still remain an issue. The traditional cryptosystems that have been used include Advanced Encryption Standard and Data Encryption Standard. These schemes are considered inadequate because they require the release of secret keys for data decryption before computation can take place. To preserve integrity and privacy of cloud data, Homomorphic Encryption was introduced to perform computation on encrypted data. The existing asymmetric based Fully Homomorphic Encryption (FHE) schemes are not suitable forreal-world applications due to their high computation overhead and large key size management. Similarly, symmetric based FHE schemes suffer from insecurity against known plaintext/ciphertext attacks and generate a very large ciphertext size that requires a large number of bandwidths to transfer over the network. This study presents a broad assessment of FHE research practices based on 488 articles found in the Web of Science database between2008 and 2018 using bibliometric analysis. Furthermore, a symmetric based FHE scheme built on Matrix Operation for Randomization and Encryption (MORE) and Secret Information Moduli Set (SIMS) was proposed to enhance the existing MORE scheme. Likewise, to overcome the drawbacks of N-prime Model, Residue Number System (RNS) based N-prime model was proposed. Finally, hybrid symmetric based FHE framework was built based on the combination of RNS based N-prime model and MORE-SIMS to overcome the drawbacks of existing symmetric based FHE schemes. The results of bibliometric analysis across continents with publication distribution were found to be 40.16%, 27.66%, 25.41%, 3.89%, 2.05% and0.82% for Asia, North America, Europe, Australia, Africa and South America respectively. MORE-SIMS and MORE schemes produced encryption execution time of 0.066sec and0.063sec with ? x ? and ? x ? x ? storage overhead respectively. Also, the experimental results of proposed RNS based N-prime Model and hybrid framework revealed that averagely, plaintext to ciphertext size expansion ratio were 1:2.89 and 1:3.82 respectively with fast encryption and decryption time as compared to N-prime model with 1:10.21. Bibliometric Analysis revealed that the continent of Asia, North America and Europe had significant impacts in terms of research activities in comparison to other continents. Likewise, analysis highlighted top funding agencies, authors, countries and cited articles. Despite the additional security layer in MORE-SIMS, it still has very close encryption execution time and better storage overhead compared to the MORE scheme. RNS based N-prime Model for symmetric based FHE improves the system latency and reduces the ciphertext file expansion by approximately72% as compared to the existing N-prime Model. Hybrid symmetric based FHE framework satisfied homomorphism properties with robust inbuilt security that resists known plaintext/ciphertext attack or any other forms of statistical attacks. The ciphertext size produced by the proposed hybrid framework is less than 4 times of its equivalent plaintext size with a considerable encryption execution time and fast decryption time. Thus, guaranteed to provide optimum performance and reliable solution for securing integrity and privacy of user's data in the cloud.

ISBN: 9798515256272Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Symmetric encryption

Enhanced Symmetric Based Fully Homomorphic Encryption Using Residue Number System.
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245 1 0 $a Enhanced Symmetric Based Fully Homomorphic Encryption Using Residue Number System.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 172 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
500 $a Advisor: Gbolagade, Kazeem A.;Mope, Isiaka R.
502 $a Thesis (Ph.D.)--Kwara State University (Nigeria), 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Cloud Computing has offered incredible benefits to online information management. However, data protection and privacy still remain an issue. The traditional cryptosystems that have been used include Advanced Encryption Standard and Data Encryption Standard. These schemes are considered inadequate because they require the release of secret keys for data decryption before computation can take place. To preserve integrity and privacy of cloud data, Homomorphic Encryption was introduced to perform computation on encrypted data. The existing asymmetric based Fully Homomorphic Encryption (FHE) schemes are not suitable forreal-world applications due to their high computation overhead and large key size management. Similarly, symmetric based FHE schemes suffer from insecurity against known plaintext/ciphertext attacks and generate a very large ciphertext size that requires a large number of bandwidths to transfer over the network. This study presents a broad assessment of FHE research practices based on 488 articles found in the Web of Science database between2008 and 2018 using bibliometric analysis. Furthermore, a symmetric based FHE scheme built on Matrix Operation for Randomization and Encryption (MORE) and Secret Information Moduli Set (SIMS) was proposed to enhance the existing MORE scheme. Likewise, to overcome the drawbacks of N-prime Model, Residue Number System (RNS) based N-prime model was proposed. Finally, hybrid symmetric based FHE framework was built based on the combination of RNS based N-prime model and MORE-SIMS to overcome the drawbacks of existing symmetric based FHE schemes. The results of bibliometric analysis across continents with publication distribution were found to be 40.16%, 27.66%, 25.41%, 3.89%, 2.05% and0.82% for Asia, North America, Europe, Australia, Africa and South America respectively. MORE-SIMS and MORE schemes produced encryption execution time of 0.066sec and0.063sec with ? x ? and ? x ? x ? storage overhead respectively. Also, the experimental results of proposed RNS based N-prime Model and hybrid framework revealed that averagely, plaintext to ciphertext size expansion ratio were 1:2.89 and 1:3.82 respectively with fast encryption and decryption time as compared to N-prime model with 1:10.21. Bibliometric Analysis revealed that the continent of Asia, North America and Europe had significant impacts in terms of research activities in comparison to other continents. Likewise, analysis highlighted top funding agencies, authors, countries and cited articles. Despite the additional security layer in MORE-SIMS, it still has very close encryption execution time and better storage overhead compared to the MORE scheme. RNS based N-prime Model for symmetric based FHE improves the system latency and reduces the ciphertext file expansion by approximately72% as compared to the existing N-prime Model. Hybrid symmetric based FHE framework satisfied homomorphism properties with robust inbuilt security that resists known plaintext/ciphertext attack or any other forms of statistical attacks. The ciphertext size produced by the proposed hybrid framework is less than 4 times of its equivalent plaintext size with a considerable encryption execution time and fast decryption time. Thus, guaranteed to provide optimum performance and reliable solution for securing integrity and privacy of user's data in the cloud.
590 $a School code: 2005.
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650 4 $a Cryptography. $3 532586
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650 4 $a Noise. $3 598816
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650 4 $a Keywords. $3 3560140
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650 4 $a Number systems. $3 3680527
650 4 $a Confidentiality. $3 736289
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650 4 $a Algorithms. $3 536374
650 4 $a Cloud computing. $3 1016782
653 $a Symmetric encryption
653 $a Bibliometric Analysis
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653 $a N-prime model
653 $a Residue number system
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653 $a Cloud computing
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