ISSN: 2265-6294

SECURE CLOUD STORAGE OF DYNAMIC DATA USING REAL TIME NETWORK CODING TECHNIQUES

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MAHESHUNI LAYA, KODIMYALA LALITHYA, R.HARITHA,

Abstract

Regardless, buyers are unsure whether cloud servers actually give more capacity than other servers. Employees currently assist unauthorized individuals in dishonestly changing data. The bulk of the time, the organization is responsible for keeping information secure. Nonetheless, some employees made money by selling hackers access to specific information for a charge. Because of the problem, the data is currently compromised. We can address this issue by deploying cutting-edge secure technologies. Using this method, an individual sends data to Dropbox's cloud storage, which is then encrypted and stored. The user then initiates data retrieval by sending a request that includes the port number, triggering the face recognition mode. The data user may react to the user's request by using the IP webcam's face recognition video mode. Four managers will initially verify the request details to confirm their accuracy. Following that, the request will be approved if the individual submitting it provides visual confirmation. Administrators who suspect an individual is attempting to breach the policies will have their login attempts blocked by photographing the subject and utilizing face recognition technology. Individuals' only remaining technique of exchanging information is data transfer. This approach uses the AES algorithm for both encryption and deciphering. The unformatted text is completely encrypted with the Advanced Encryption Standard (AES) and kept in an encrypted state on cloud storage. The secured text takes multiple attempts to decipher, which is a big barrier for hackers but a significant benefit for data owners.

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