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DC Field | Value | Language |
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dc.contributor.author | Das, P.K. | |
dc.contributor.author | Sinha, N. | |
dc.contributor.author | Annappa, B. | |
dc.date.accessioned | 2020-03-31T08:22:53Z | - |
dc.date.available | 2020-03-31T08:22:53Z | - |
dc.date.issued | 2019 | |
dc.identifier.citation | International Journal of Recent Technology and Engineering, 2019, Vol.8, 3, pp.7544-7548 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/10668 | - |
dc.description.abstract | The increasing popularity of cloud data storage and its ever-rising versatility, shows that cloud computing is one of the most widely excepted phenomena. It not only helps with powerful computing facilities but also reduce a huge amount of computational cost. And with such high demand for storage has raised the growth of the cloud service industry that provides an affordable, easy-to-use and remotely-accessible services. But like every other emerging technology it carries some inherent security risks associated and cloud storage is no exception. The prime reason behind it is that users have to blindly trust the third parties while storing the useful information, which may not work in the best of interest. Hence, to ensure the privacy of sensitive information is primarily important for any public, third-party cloud. In this paper, we mainly focus on proposing a secure cloud framework with encrypting sensitive data s using AES-GCM cryptographic techniques in HEROKU cloud platform. Here we tried to implement Heroku as a cloud computing platform, used the AES-GCM algorithm and evaluate the performance of the said algorithm. Moreover, analyses the performance of AES/GCM execution time with respect to given inputs of data. BEIESP. | en_US |
dc.title | Data privacy preservation using aes-gcm encryption in Heroku cloud | en_US |
dc.type | Article | en_US |
Appears in Collections: | 1. Journal Articles |
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