Cloud query processing analysis: encryption and decryption

TL;DR: A detailed thematic taxonomy is presented to classify existing sensor cloud frameworks while focusing in service oriented and client server architectures and several research opportunities are suggested to assist researchers in identifying and designing optimal resource sensor cloud integration frameworks to host emerging applications.

TL;DR: The results showed that the presented scheme can assure confidentiality and security of the medical data while maintaining the image quality.

TL;DR: The proposed testbed implementation for the Advanced Technology Training Center (ADTEC) Batu Pahat, one of Malaysia's industrial training institutes, is presented, and the implementation of quality of service through add-on rules, such as traffic policing on network traffic, was proposed.

TL;DR: There are various ways in which container clustering can be achieved and the study and the comparison between two such technologies, i.e. Docker Swarm and Kubernetes are presented.

TL;DR: The authors have analyzed existing data encryption schemes, like RSA, KP-ABe, CP-ABE, and AES, and proposed an improving scheme to enhance the speed of RSA encryption using multi-threading concept on latest multi-core CPUs.

TL;DR: The efforts are being put to analyze the foundation of data classification in cloud computing and to propose a data classification based on some important parameters which are responsible for security level of data shared in cloud environment.