Effective Modular Order Preserving Encryption on Cloud Using MHGD

Abstract

Cloud computing strengthens its presence in the public sector, Organizations and individuals are looking for cloud services to improve productivity, security and reduce costs. Apart from communication, file storage is the main requirement for common people. Traditional data centers consist of large collections of server farms implementing perimeter-security measures. Public cloud offersa multitenant service, in which the concept of the network perimeter evaporates. For the former concern, data encryption before outsourcing is the simplest way to protect data privacy. But encryption also makes deploying traditional data utilization services — a difficult. This problem on how to search encrypted data has recently gained attention and led to the development of searchable encryption techniques. In this work we are try to implement Modular Order Preserving Encryption(MOPE), a primitive which allowing a efficient modular range queries on encrypted documents. This is a kind of Searchable Encryption Scheme. MOPE improves the security of OPE in the sense, as it does not leak any information about the location of plaintext, Boldyvera et.al. Main goal of this work is to improve the security provided by the existing MOPE approaches with the help of Multivariate Hypergeometric Distribution (MHGD).