CONFIDENTIAL CLOUD SERVICE PROVISIONING USING BOOSTING ENSEMBLE CLASSIFICATION BASED AUTHENTICATION

K.PALANISAMY; DR.C.CHANDRASEKAR

Volume : VI, Issue : XI, November - 2017

CONFIDENTIAL CLOUD SERVICE PROVISIONING USING BOOSTING ENSEMBLE CLASSIFICATION BASED AUTHENTICATION

K. Palanisamy, Dr. C. Chandrasekar

Abstract :

A cloud computing is a promising computing equipment that allows the cloud user to manage the cloud information from wherever at every time. The cloud computing and storage resources based on meter basis are utilized by presenting a computing capability. Due to the presence of storage resources, security is not provided for cloud system to achieve data confidentiality and authenticity. Though, a client is not able to belief the cloud service provider to accumulate its data more securely within the cloud. In order to overcome the data security problem, a Boosting Ensemble Classification based Authentication (BECA) technique is introduced. The data confidentiality and security is enhanced for cloud service provisioning with minimum time in BECA Technique. Initially, BECA Technique performs Boosting Ensemble Classifier to attain higher security level in cloud computing. In addition to that, Bayes Optimal Classifier (i.e. Boosting Ensemble classifier) is combined with AdaBoost to classify the user request during the authentication of users in cloud computing. Then, the user request to cloud server is provided as authorized or unauthorized data for securing the cloud services. After the classification of user request, user authentication process is carried out to present user data required services to the subsequent cloud user. Thus, it resulted with improved cloud data security in a significant manner. According to the authentication process, when the cloud user is authorized then the data services is provided and unauthorized users are not able to store the data in cloud system. This in turns helps for attaining the improved data security and confidentiality rate of cloud service provider in an optimized manner. The performance analysis of proposed BECA Technique is conducted on parameters such as classification accuracy, authentication time, false positive rate, data security rate and data confidentiality rate. The experimental result shows that the BECA Technique achieves higher security and confidentiality rate of cloud service provisioning when compared to the state-of-the-art works.