Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/341649
Title: An efficient homomorphic encryption using data packing
Researcher: Jayanthi M
Guide(s): Kannanbalasubramanian
Keywords: Homomorphic
University: Anna University
Completed Date: 2019
Abstract: With the advances in the development of information technology like social media, transfer of visual data is essential. While transmitting through the insecure channel of communication for different purposes the data must be ciphered in an unintelligible form. Efficiency of the modern encryption algorithms and usage of electronic devices has improved a lot in last few years.In the beginning information is secured by hiding or substituting part of the information with numbers, special characters. The cryptographic algorithm takes a vital role in maintaining security, accuracy and efficiency. The algorithm which is used for securing communication requires a higher level of security. The major contributions of this thesis are (1) Granting Higher Security to the sensitive data in the network transmission. (2) Making the Image transmission easy and efficient in the unsecured network. (3) Compressing the data to make the Encryption and Decryption process easier. The Proposed Optimized Homomorphic Encryption (OHE) mechanism is used in this dissertation. TheOptimized Homomorpic Encryption is applied to various applications such as Conducting Electronic Voting, Optimized Homomorphic Encrytion operations on Medical Images and Searching of data called Private Information Retrieval(PIR).Electronic Voting involves the Encryption and Decryption ofOptimized Homomorphic Encryption. Various Comparisons are used to show the performance of the System in Electronic Voting. Both the advantages of Private Key Encryption and Public Key Encryption are used in the Optimized Homomorphic Encryption. The Votes collected are encrypted and given to the Central Machine and then Decrypted to find out the Maximum Score that is the Winning Candidate. Medical Image Data is very important and Sensitive Data. newline newline
Pagination: xv,112p.
URI: http://hdl.handle.net/10603/341649
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File307.84 kBAdobe PDFView/Open
02_certificates.pdf1.2 MBAdobe PDFView/Open
03_vivaproceedings.pdf201.31 kBAdobe PDFView/Open
04_bonafidecertificate.pdf446.38 kBAdobe PDFView/Open
05_abstracts.pdf180.68 kBAdobe PDFView/Open
06_acknowledgements.pdf530.82 kBAdobe PDFView/Open
07_contents.pdf200 kBAdobe PDFView/Open
08_listoftables.pdf173.1 kBAdobe PDFView/Open
09_listoffigures.pdf184.86 kBAdobe PDFView/Open
10_listofabbreviations.pdf183.32 kBAdobe PDFView/Open
11_chapter1.pdf804.16 kBAdobe PDFView/Open
12_chapter2.pdf312.54 kBAdobe PDFView/Open
13_chapter3.pdf498.03 kBAdobe PDFView/Open
14_chapter4.pdf462.6 kBAdobe PDFView/Open
15_chapter5.pdf386.83 kBAdobe PDFView/Open
16_chapter6.pdf383.56 kBAdobe PDFView/Open
17_conclusion.pdf266.07 kBAdobe PDFView/Open
18_references.pdf980 kBAdobe PDFView/Open
19_listofpublications.pdf335.22 kBAdobe PDFView/Open
80_recommendation.pdf155.37 kBAdobe PDFView/Open
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