Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366492174> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W4366492174 abstract "Security is the primary concern for cloud-based data storage. While the data is stored in the cloud, it is queried and retrieved regularly from various remote locations. Various cloud providers come with built-in security features for all the data stored in the cloud. Even though cloud providers offer different security methods, organizations can’t rely on them when it comes to sensitive data. In various enterprise applications, there can be a requirement of performing different operations on data stored in coded form. In this situation, homomorphic ciphering techniques are useful. Different homomorphic encryption methods enable execution of operations on encrypted data without first decrypting it. Typically, these calculations include performing arithmetic operations on encrypted cloud-based data. When the data to be stored is structured and its elements are to be stored in various data type fields, there is a restriction on the range of values stored in the respective data type. Using existing homomorphic techniques, direct operations between two or more encrypted values cause the result value’s size to increase by that many bits. The size of the result is proportional to the number of times the operation performed. It is therefore challenging to enable numerous additions or multiplications over encrypted numeric values stored in databases. In this paper, we propose a methodology to support an unlimited number of homomorphic operations on encrypted data without increase in size of the final result by incorporating few changes in implementation of various operations. Our proposed work guarantees that it supports unlimited additions or multiplications over encrypted data such that the final result does not exceed the storage size of the data by more than the number of bits. This article provides algorithms for additive homomorphic with Paillier and multiplicative homomorphic with RSA." @default.
- W4366492174 created "2023-04-22" @default.
- W4366492174 creator A5006130793 @default.
- W4366492174 creator A5027910068 @default.
- W4366492174 creator A5039651883 @default.
- W4366492174 date "2023-03-24" @default.
- W4366492174 modified "2023-09-26" @default.
- W4366492174 title "Algorithms for Implementing Repeated Homomorphic Operations on Restricted Data Type Ranges" @default.
- W4366492174 cites W1534388293 @default.
- W4366492174 cites W2068143382 @default.
- W4366492174 cites W2102479244 @default.
- W4366492174 cites W2117822320 @default.
- W4366492174 cites W2132172731 @default.
- W4366492174 cites W2154611405 @default.
- W4366492174 cites W2159915142 @default.
- W4366492174 cites W2606882085 @default.
- W4366492174 cites W2994891463 @default.
- W4366492174 cites W3004172225 @default.
- W4366492174 cites W3140753276 @default.
- W4366492174 cites W4232836212 @default.
- W4366492174 doi "https://doi.org/10.1109/sictim56495.2023.10105118" @default.
- W4366492174 hasPublicationYear "2023" @default.
- W4366492174 type Work @default.
- W4366492174 citedByCount "0" @default.
- W4366492174 crossrefType "proceedings-article" @default.
- W4366492174 hasAuthorship W4366492174A5006130793 @default.
- W4366492174 hasAuthorship W4366492174A5027910068 @default.
- W4366492174 hasAuthorship W4366492174A5039651883 @default.
- W4366492174 hasConcept C10511746 @default.
- W4366492174 hasConcept C111919701 @default.
- W4366492174 hasConcept C11413529 @default.
- W4366492174 hasConcept C138958017 @default.
- W4366492174 hasConcept C148730421 @default.
- W4366492174 hasConcept C158338273 @default.
- W4366492174 hasConcept C38652104 @default.
- W4366492174 hasConcept C41008148 @default.
- W4366492174 hasConcept C77088390 @default.
- W4366492174 hasConcept C79974875 @default.
- W4366492174 hasConceptScore W4366492174C10511746 @default.
- W4366492174 hasConceptScore W4366492174C111919701 @default.
- W4366492174 hasConceptScore W4366492174C11413529 @default.
- W4366492174 hasConceptScore W4366492174C138958017 @default.
- W4366492174 hasConceptScore W4366492174C148730421 @default.
- W4366492174 hasConceptScore W4366492174C158338273 @default.
- W4366492174 hasConceptScore W4366492174C38652104 @default.
- W4366492174 hasConceptScore W4366492174C41008148 @default.
- W4366492174 hasConceptScore W4366492174C77088390 @default.
- W4366492174 hasConceptScore W4366492174C79974875 @default.
- W4366492174 hasLocation W43664921741 @default.
- W4366492174 hasOpenAccess W4366492174 @default.
- W4366492174 hasPrimaryLocation W43664921741 @default.
- W4366492174 hasRelatedWork W1901928557 @default.
- W4366492174 hasRelatedWork W2000703121 @default.
- W4366492174 hasRelatedWork W2059333636 @default.
- W4366492174 hasRelatedWork W2086320043 @default.
- W4366492174 hasRelatedWork W2111709307 @default.
- W4366492174 hasRelatedWork W2736239266 @default.
- W4366492174 hasRelatedWork W2886524449 @default.
- W4366492174 hasRelatedWork W2910525786 @default.
- W4366492174 hasRelatedWork W3046088002 @default.
- W4366492174 hasRelatedWork W3129529823 @default.
- W4366492174 isParatext "false" @default.
- W4366492174 isRetracted "false" @default.
- W4366492174 workType "article" @default.