An adaptive and efficient fully homomorphic encryption technique

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.

• fully homomorphic encryption
• cloud data security
• untrusted cloud servers
• encrypted data processing
• data privacy

• Cryptography and Data Security
• Cloud Data Security Solutions
• Chaos-based Image/Signal Encryption
• fully homomorphic encryption
• cloud data security
• untrusted cloud servers
• encrypted data processing
• data privacy
• Artificial Intelligence
• Information Systems
• Computer Vision and Pattern Recognition
• Computer Science