A PROFICIENT PRIVACY PROTECTION METHOD FOR CLOUD COMPUTING

With the rapid development of Cloud computing, further Cloud services are into our daily life, and therefore security protection of Cloud services, especially data privacy protection, becomes more important. Still to perform privacy protection causes huge outflow. Therefore it's a critical issue to perform the most suitable protection to decline performance consumption while give privacy protection. In this design, the Complete Sequestration Protection Scheme (CSPS) is proposed to give the applicable privacy protection which is satisfying the stoner- demand privacy demand and maintaining system performance contemporaneously. At first, the privacy position is anatomized by druggies those bear and quantify security degree and performance of 3DES and AES encryption algorithms. Also, an applicable security composition is deduced by the results of analysis and quantified data. Eventually, the simulation results show that the CSPS not only fulfills the stoner- demand privacy but also maintains the Cloud system performance in different Cloud surroundings.