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Cloud computing is a model of sophisticated computing which has a strong effect on data innovation. Cloud computing offers remote access to shared computerized assets in the stored cloud. Operationally cloud servers utilize Web services that give enormus advantage to the user in a variety of applications such as banking and finance, storage, social networking and e-mail. Cloud computing accomplishes many of the features interrelated to elasticity, ease of utility, efficiency and performance with low cost.  There are a number of potential concerns related to security and privacy since the requirement to protect cloud computing expanded, the encryption algorithms play the key part in data and information security systems, on side these algorithms consume a considerable quantity of computing resource.This paper,presenting  a new hybrid encryption algorithm emphasising  on AES and Enhanced Homomorphic Cryptosystem (EHC) as a hybrid encryption  to guarantee the secure exchange of data between the user and the cloud server, and compression study for two proficient homomorphic encryption techniques for encoding Data Encryption Standard (DES), Advance Encryption Stander (AES).With The proposed techniques an evaluation has been conducted for those encryption algorithms at diverse file sizes of data, to evaluate time taking for encryption and decryption, throughput, memory consumption and power consumption. The major finding was thats the proposed method has the extremity throughput; memory consumption and our proposed work took advantage of the least time taken in sec for encryption and decryption.

The substantial growth in China's education field has given a considerable boost to competition between many administrations within the sector. This study's primary motive is assessing international student satisfaction concerning the information systems in large numbers of universities situated in Jiangsu province, China. A self-structured questionnaire was used for data collection and analyzed through descriptive and inferential statistics. The study was analyzed based on user satisfaction within the system, information quality, and intention to use. This research analysis was to inspect the consequence of students' perceived ease of use, perceived usefulness, and intention to use the student information system. A sample of 400 respondents was chosen based on a proportional stratified sampling approach across the universities' various faculties. PLS-(SEM) approach was embraced for the investigation of data using PLS graph software. The major finding was that information quality and system quality has a considerable and critical effect on user satisfaction. Moreover, the intention of use has a considerable negative effect on student satisfaction.