{"title":"Improvement of ETSFS algorithm for secure database","authors":"Prathyusha Uduthalapally, Bing Zhou","doi":"10.1109/ISDFS.2016.7473519","DOIUrl":null,"url":null,"abstract":"In the present era, one of the major encounters is data security. Most organizations store their data in huge databases that enables uncomplicated retrieval, manipulations, and also helps in an efficient way of sharing. Database security has now become a more dynamic issue as data is the greatest asset to any organization. Due to the rapid increase in the database usage, it is vulnerable to many threats like unauthorized access etc. To overcome these issues, numerous security techniques have emerged to protect the data in databases. Database encryption - a security technique involves various encryption algorithms such as, Data Encryption Standard (DES), Triple DES and Enhanced-Transposition-Substitution-Folding-Shifting (ETSFS). Each of them has its specific merits and demerits. Unlike ETSFS, has constraint on data size and number of special characters, the proposed method improvement focuses on the encryption of large data considering all types of special characters and a random generator is used for generating keys in substitution phase. The proposed methodology of the paper focused on the future work of the ETSFS algorithm and successfully implemented for securing database with the comparison of the insert and select queries of the four encryption algorithms (AES, DES, ETSFS, and Enhanced ETSFS).","PeriodicalId":136977,"journal":{"name":"2016 4th International Symposium on Digital Forensic and Security (ISDFS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 4th International Symposium on Digital Forensic and Security (ISDFS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDFS.2016.7473519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In the present era, one of the major encounters is data security. Most organizations store their data in huge databases that enables uncomplicated retrieval, manipulations, and also helps in an efficient way of sharing. Database security has now become a more dynamic issue as data is the greatest asset to any organization. Due to the rapid increase in the database usage, it is vulnerable to many threats like unauthorized access etc. To overcome these issues, numerous security techniques have emerged to protect the data in databases. Database encryption - a security technique involves various encryption algorithms such as, Data Encryption Standard (DES), Triple DES and Enhanced-Transposition-Substitution-Folding-Shifting (ETSFS). Each of them has its specific merits and demerits. Unlike ETSFS, has constraint on data size and number of special characters, the proposed method improvement focuses on the encryption of large data considering all types of special characters and a random generator is used for generating keys in substitution phase. The proposed methodology of the paper focused on the future work of the ETSFS algorithm and successfully implemented for securing database with the comparison of the insert and select queries of the four encryption algorithms (AES, DES, ETSFS, and Enhanced ETSFS).