Privacy concerns in outsourced cloud databases have become more and more important recentlyand many efficient and scalable query processing methods over encrypted data have been proposed.However, there is very limited work on how to securely process top-k ranking queries over encrypteddatabases in the cloud. In this paper, we focus exactly on this problem: secure and efficient proce...

The term “Smart grid” can be described as the next generation electric power system. The metering data should be continuosly examined for valid testing and this is one of the challenge for our smart grid. In this paper we analyze the problem of supporting multidimensional range queries on encrypted metering data. The problem is motivated by the applications of secure data outsourcing where a re...

The advent of cloud computing redefines the traditional query processing paradigm. Whereas computational overhead and memory constraints become less prohibitive, data privacy, security, and confidentiality concerns become top priorities. In particular, as data owners outsource the management of their data to service providers, query processing over such data has more resources to tap into, yet ...

This paper presents a new range query mechanism to query encrypted databases that reside at third-party, untrusted, servers. This paper is a continuation of work done by others [1]; our scheme seeks to improve the precision of querying encrypted data sets, increase the utilization of server side processing and reduce the computation and memory utilization on the client side. We compare our algo...

With the advancement of cloud computing technologies and the propagation of locationbased services, research on outsourced spatial databases has been spotlighted. Therefore, the traditional spatial databases owners want to outsource their resources to a service provider so that they can reduce cost for storage and management. However, the issue of privacy preservation is crucial in spatial data...

With the development of cloud computing and big data, data privacy protection has become an urgent problem to solve. Data encryption is the most effective way to protect privacy; however, it will change the data format and result in: 1. database structure and application software will be changed; 2. structured query language (SQL) operations cannot work properly, especially in SQL-based fuzzy q...

With the advent of cloud computing, many organizations and individuals are interested in outsourcing their complex data management to the public cloud for economic savings and ease of access. As sensitive information may have to be encrypted before outsourcing, the data utilization service based on plaintext keyword search is not suitable for the encrypted cloud data. In this paper, we propose ...

With the development of smart city, user data are all transformed in encrypted form to protect user privacy. Secure comparison in encrypted form is the fundamental operation of many secure encrypted data analysis tasks, such as secure k-NN query and classification, Bayesian classification. Thus, it is important to achieve an efficient secure encrypted data comparison scheme. Recently, some meth...