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• W4313227054 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)." @default.
• W4313227054 created "2023-01-06" @default.
• W4313227054 creator A5013737436 @default.
• W4313227054 creator A5060897487 @default.
• W4313227054 date "2022-10-10" @default.
• W4313227054 modified "2023-09-27" @default.
• W4313227054 title "Security Enhancement and Efficient Storage Enhancement in Public Cloud using Novel Cube Based Obfuscation and Steganography Comparing with SCA with Minimal Cost" @default.
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• W4313227054 doi "https://doi.org/10.1109/ictacs56270.2022.9988055" @default.
• W4313227054 hasPublicationYear "2022" @default.
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