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ID3 decision tree data mining is a popular and widely studied data analysis technique for a range of applications. In this paper, we focus on the privacy-preserving ID3 decision tree algorithm on horizontally partitioned datasets. In such a scenario, data owners wish to learn the decision tree result from a collective data set but disclose minimal information about their own sensitive data. In this...
The emergence and development of the Internet resulted in the generation of huge amounts of data, which are often distributed among different sites. Many organizations and companies attempted to mine the data with cloud computing. However, given the rise of various privacy issues, sensitive data (e.g., medical records) need to be encrypted before outsourcing to the cloud. To process data mining, such...
Many companies want to share data for datamining tasks. However, the privacy and security concerns become a bottleneck in the data sharing filed. The secure multiparty computation (SMC)-based privacy-preserving data mining has emerged as a solution to this problem. However, traditional SMC solutions are inefficient. We introduce the method of outsourcing to reduce the computation cost of user’s side...
Fault-tolerance has huge impact on embedded safety-critical systems. As technology that assists to the development of such improvement, Safe Node Sequence Protocol (SNSP) is designed to make part of such impact. In this paper, we present a mechanism for fault-tolerance and recovery based on the Safe Node Sequence Protocol (SNSP) to strengthen the system robustness, from which the correctness of a...
Web server plays an important role on the internet service. On Linux system, some web servers are designed based on the process mechanism. Every time when clients give a connection request, the server has to create a new process, resulting in a big cost of CPU. In this paper, we introduce a new concurrent web sever implemented with prethreading technology. It is designed by producer-consumer model...
Resource discovery is one of the basic services in grid. In large-scale grid environment, traditional centralized resource discovery approaches limit scalability and result performance bottleneck. Based on the peer-to-peer protocol and the idea of resource clustering, a decentralized resource discovery scheme is introduced to overcome the deficiencies of the centralized resource discovery mechanism...
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