Review on Privacy Preserving in Cloud using Time Series Pattern Based Noise Generation

Abstract

-Cloud computing is an open environment where customers use various IT services. Due to the openness and virtualization features of cloud computing, various malicious service providers May exist in these environments. Some service providers may record service data from customers and deduce the customer's private information without permission. Therefore for the customer's security, it is essential to take certain technical Actions at client side without involvement of service providers. Noise obfuscation is an effective approach in this regard by utilizing noise data. In this noise service requests are generated and injected into real customer service requests so that malicious service providers cannot distinguish which requests are real one's if the occurrence probabilities of these requests are about the same. In these way customers privacy can be protected. Sometimes the cloud service provider may hide the data corruptions to maintain the reputation. To avoid this problem, we introduce an effective Third Party Auditor to audit the user's outsourced data when needed.