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With the prevalence of cloud computing, privacy-preserving database outsourcing has been spotlighted. To preserve both data privacy and query privacy from adversaries, databases need to be encrypted before being outsourced to the cloud. However, there exists the only kNN classification scheme over the encrypted databases in the cloud. Because the existing scheme suffers from high computation overhead,...
Recently, researches on key management scheme for user access control in outsourced databases have been actively done. Because outsourced databases require dealing with a lot of users and data resources, an efficient key management scheme for reducing the number of authentication keys is required. However, the existing schemes have a critical problem that the cost of key management is rapidly increasing...
With the adoption of cloud computing, database outsourcing has emerged as a new platform. Due to the serious privacy concerns in the cloud, database need to be encrypted before being outsourced to the cloud. Therefore, various kNN query processing techniques have been proposed over the encrypted database. However, the existing schemes are either insecure or inefficient. So, we, in this paper, propose...
Because MapReduce supports efficient parallel data processing, MapReduce-based query processing algorithms have been widely studied. Among various query types, k-nearest neighbor join, which aims to produce the k nearest neighbors of each point of a dataset from another dataset, has been considered most important in data analysis. Existing k-NN join query processing algorithms on MapReduce suffer...
With the development of cloud computing, the interest on spatial database outsourcing has been increasing. Therefore, researches for protecting location data privacy in spatial outsourced databases have been actively performed. However, FDH (Flexible Distance-Based Hashing) is easy to access original data because they do not consider data distribution. In addition, since they perform the nearest neighbor...
Recently, the cloud computing system has attracted much interest in processing the big data efficiently. Because services using big data on the cloud computing environment consider a lot of users, an efficient user access control scheme is required. However, the existing schemes have a critical problem that the cost of the key management for the user access control is high. To solve the problem, we...
With the development of cloud computing, the interest on spatial database outsourcing has been sharply increasing. Therefore, researches on data encryption methods for protecting location data privacy in outsourced databases have been actively performed. However, the existing data encryption schemes do not consider data distribution when generating data clusters and they use a tree-based index for...
Because much interest in spatial database in cloud computing has been attracted, studies on preserving location data privacy in cloud computing have been actively done. However, since the existing spatial transformation schemes are weak to proximity attack, they cannot preserve the privacy of users who enjoy location-based services from the cloud computing. Therefore, a transformation scheme for providing...
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