Security Enhancement and Efficient Storage Enhancement in Public Cloud using Novel Cube Based Obfuscation and Steganography Comparing with SCA with Minimal Cost
{"title":"Security Enhancement and Efficient Storage Enhancement in Public Cloud using Novel Cube Based Obfuscation and Steganography Comparing with SCA with Minimal Cost","authors":"K. Vandhana, P. Sriramya","doi":"10.1109/ICTACS56270.2022.9988055","DOIUrl":null,"url":null,"abstract":"The objective of this research is to enhance security and storage for data stored in the public cloud using novel cube based obfuscation and steganography compared with side channel attack with minimal cost. The two groups that are considered are Secure Channel Attack and Novel Cube Based Obfuscation methods. This proposed approach makes the data in a non-understandable format so no attacker can identify the image and cannot extract steganographic images and also occupies less storage space. The sample size considered for implementing this work was N=20 for each of the groups considered. The sample size calculation was done using clinical. The pretest analysis was kept 80%. Based on the statistical analysis the significance value for calculating image size was found to be 0.95. In this research it is observed that cube based obfuscation seems to be secure and occupies less storage space than secure channel attack with 2861 bytes image size. Based on the experimental and statistical results achieved it is concluded that Novel Cube based obfuscation (CBO) seems to be secure and takes less storage space than secure channel attack (SCA).","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTACS56270.2022.9988055","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
The objective of this research is to enhance security and storage for data stored in the public cloud using novel cube based obfuscation and steganography compared with side channel attack with minimal cost. The two groups that are considered are Secure Channel Attack and Novel Cube Based Obfuscation methods. This proposed approach makes the data in a non-understandable format so no attacker can identify the image and cannot extract steganographic images and also occupies less storage space. The sample size considered for implementing this work was N=20 for each of the groups considered. The sample size calculation was done using clinical. The pretest analysis was kept 80%. Based on the statistical analysis the significance value for calculating image size was found to be 0.95. In this research it is observed that cube based obfuscation seems to be secure and occupies less storage space than secure channel attack with 2861 bytes image size. Based on the experimental and statistical results achieved it is concluded that Novel Cube based obfuscation (CBO) seems to be secure and takes less storage space than secure channel attack (SCA).