Visible to the public Cloud Security Implementation using Homomorphic Encryption

TitleCloud Security Implementation using Homomorphic Encryption
Publication TypeConference Paper
Year of Publication2020
AuthorsSyafalni, I., Fadhli, H., Utami, W., Dharma, G. S. A., Mulyawan, R., Sutisna, N., Adiono, T.
Conference Name2020 IEEE International Conference on Communication, Networks and Satellite (Comnetsat)
Date PublishedDec. 2020
ISBN Number978-0-7381-2517-6
KeywordsBig Data, big data security in the cloud, cloud, cloud security system, Data analysis, data analytic., Data security, Encryption, homomorphic encryption, hospitals, pubcrawl, Public key, Satellites, security

With the advancement of computing and communication technologies, data transmission in the internet are getting bigger and faster. However, it is necessary to secure the data to prevent fraud and criminal over the internet. Furthermore, most of the data related to statistics requires to be analyzed securely such as weather data, health data, financial and other services. This paper presents an implementation of cloud security using homomorphic encryption for data analytic in the cloud. We apply the homomorphic encryption that allows the data to be processed without being decrypted. Experimental results show that, for the polynomial degree 26, 28, and 210, the total executions are 2.2 ms, 4.4 ms, 25 ms per data, respectively. The implementation is useful for big data security such as for environment, financial and hospital data analytics.

Citation Keysyafalni_cloud_2020