Subha R, S. B, Sivaram C, S. S., Vikram S S, VimalKumar M
{"title":"A Survey on Encryption Framework Against Insider Keyword-Guessing Attack in Cloud Storage","authors":"Subha R, S. B, Sivaram C, S. S., Vikram S S, VimalKumar M","doi":"10.53759/acims/978-9914-9946-9-8_8","DOIUrl":null,"url":null,"abstract":"A key component of data security in cloud computing systems is encryption. Encryption might not be enough, though, to shield sensitive data from hostile intrusions. One such attack is the keyword guessing attack, in which an attacker uses a variety of techniques to attempt to decipher a term from the encrypted data. In this research, we suggest a system for encryption against a cloud computing keyword guessing attack. To achieve improved data security, the framework combines encryption methods with a safe keyword retrieval system. The framework that is being developed takes into account the difficulties that come with storing and retrieving encrypted data in cloud environments. Our test findings demonstrate that the suggested framework successfully thwarts keyword guessing attacks while preserving the data's confidentiality and integrity.","PeriodicalId":261928,"journal":{"name":"Advances in Computational Intelligence in Materials Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Intelligence in Materials Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53759/acims/978-9914-9946-9-8_8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A key component of data security in cloud computing systems is encryption. Encryption might not be enough, though, to shield sensitive data from hostile intrusions. One such attack is the keyword guessing attack, in which an attacker uses a variety of techniques to attempt to decipher a term from the encrypted data. In this research, we suggest a system for encryption against a cloud computing keyword guessing attack. To achieve improved data security, the framework combines encryption methods with a safe keyword retrieval system. The framework that is being developed takes into account the difficulties that come with storing and retrieving encrypted data in cloud environments. Our test findings demonstrate that the suggested framework successfully thwarts keyword guessing attacks while preserving the data's confidentiality and integrity.