No abstract

This paper discusses knowledge representation for privacy and accountability issues. Use of personal information from customers is a common practice among companies and governments around the world. Knowing and applying current privacy legislation is an important requirement for IT projects. Inadequate procedures or data breaches can lead to lawsuits and loss of consumer trust for the company [1]. IT project managers are mainly aware of their business goals, but not of specific required actions to assure that the project is privacy-compliant.

In the modern era of the computing world, the data producing and using it is becoming large and instant at various places. For availing the data at different locations for processing we need to store it in the global platform. Cloud environment provides a best and easy way for this. Cloud computing is becoming as the essential thing for high-quality data services. However there are some potential problems with respect to data security. Here encryption techniques can be used for providing security, but with restricted efficiency. In this paper we propose a new encryption mechanism for providing data security in cloud environment. We propose a two round searchable encryption which supports multi keyword retrieval. Here we adapted a vector space model for improving search accuracy; the elgamal encryption technique allows users to involve in the ranking, while the essential key part of encryption will be done at the source itself. The proposed improves the data security and reduces data leakage.