Cloud computing offers a high scalable environment for data outsourcing in the cloud. This allows a user to access all the cloud applications of any complexity, without thinking about the limitations of the local system infrastructure. It also provide medium to share the data among others. However originality and authenticity of data that is stored in cloud is an open challenge as it has large provision for data lose and date correction. In order to prevent the outsourced against various challenges, many tradition data auditing mechanism on employing third party auditor has been provided in the literatures with computation and communication capabilities. A portable data management system to will be able to perform auditing process, so that we can ensure the accuracy of the data which is stored on a unreliable third party server. This process is done without even, retrieving all the data. Despite of various advantage of public auditing, preserving the identity privacy from third party auditor has become vital task for the current research. In this paper, we have proposed a reliable and secure ring signature for preserving the privacy of data that is outsourced and shared, using public auditing in the computing paradigm. In this work, ring signature is exploited to privacy preserving of the data auditing of common outsourced data. Further the idea of ring-signatures has to be used to build the authenticator on each block of the data that is outsourced, while keeping maintaining the authenticity of the shared-data to be audited. Finally this model can support multi auditing task simultaneously. Experimental analysis on the proposed system proves that it is more secure and highly efficient against data based attacks. Evaluation the performance of the proposed model has been validated that it outperforms state of arts approaches on computation cost and time.

In olden days teaching was going in a traditional way. And then it gave way to E-learning. Here computers, projectors and laptops were used for teaching. Then evolved M-learning i.e., Mobile learning. This trending tremendous technology nowadays wher students use smart phone for learning. This project involves research and survey to identify how usage of smart class rooms at education institutions can be made under the control of authorities and how 1000's of lecture hours can be saved in a year usin techniques. As the students were misusing their phones new techniques called U-learning and NU learning were developed where lot of sensors were involved to control the miss-usage of smart phones.