An Adaptive and Efficient Fully Homomorphic Encryption Technique
Title | An Adaptive and Efficient Fully Homomorphic Encryption Technique |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Yagoub, Mohammed Amine, Laouid, Abdelkader, Kazar, Okba, Bounceur, Ahcène, Euler, Reinhardt, AlShaikh, Muath |
Conference Name | Proceedings of the 2Nd International Conference on Future Networks and Distributed Systems |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-6428-7 |
Keywords | composability, Dynamical Systems, efficient encryption, fully homomorphic encryption, homomorphic encryption, human factors, Metrics, pubcrawl, Resiliency, Scalability, security |
Abstract | The huge amount of generated data offers special advantages mainly in dynamic and scalable systems. In fact, the data generator entities need to share the generated data with each other which leads to the use of cloud services. A cloud server is considered as an untrusted entity that offers many advantages such as large storing space, computation speed... etc. Hence, there is a need to cope with how to protect the stored data in the cloud server by proposing adaptive solutions. The main objective is how to provide an encryption scheme allowing the user to maintains some functions such as addition, multiplication and to preserve the order on the encrypted cloud data. Many algorithms and techniques are designed to manipulate the stored encrypted cloud data. This paper presents an adaptive and efficient fully homomorphic encryption technique to protect the user's data stored in the cloud, where the cloud server executes simple operations. |
URL | http://doi.acm.org/10.1145/3231053.3231088 |
DOI | 10.1145/3231053.3231088 |
Citation Key | yagoub_adaptive_2018 |