{"title":"Enhanced MORE Algorithm for Fully Homomorphic Encryption Based on Secret Information Moduli Set","authors":"K. J. Muhammed, K. Gbolagade","doi":"10.1109/IEEM44572.2019.8978501","DOIUrl":null,"url":null,"abstract":"Cloud Computing has offers incredible benefits in terms of data storage and data processing. However, data protection and privacy issues when it comes to data processing on the cloud has triggered several challenges for the existing crypto-systems. In this paper, we propose symmetric based Fully Homomorphic Encryption (FHE) scheme with Matrix Operation for Randomization and Encryption (MORE) that allows arbitrary computation on an encrypted data. The proposed scheme uses Secret Information Moduli Set (SIMS) to preserved data privacy and enhanced the existing MORE scheme. The result shows that the proposed scheme (MORESIMS) tradeoff 2% execution time compared to MORE scheme with high level of security and better storage overhead of n x n based on presented security analysis.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM44572.2019.8978501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Cloud Computing has offers incredible benefits in terms of data storage and data processing. However, data protection and privacy issues when it comes to data processing on the cloud has triggered several challenges for the existing crypto-systems. In this paper, we propose symmetric based Fully Homomorphic Encryption (FHE) scheme with Matrix Operation for Randomization and Encryption (MORE) that allows arbitrary computation on an encrypted data. The proposed scheme uses Secret Information Moduli Set (SIMS) to preserved data privacy and enhanced the existing MORE scheme. The result shows that the proposed scheme (MORESIMS) tradeoff 2% execution time compared to MORE scheme with high level of security and better storage overhead of n x n based on presented security analysis.
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