Privacy-preserving collaborative association rule mining
نویسندگان
چکیده
منابع مشابه
Privacy-Preserving Collaborative Association Rule Mining
In recent times, the development of privacy technologies has promoted the speed of research on privacy-preserving collaborative data mining. People borrowed the ideas of secure multi-party computation and developed secure multi-party protocols to deal with privacy-preserving collaborative data mining problems. Random perturbation was also identified to be an efficient estimation technique to so...
متن کاملPrivacy Preserving Association Rule Mining
The current trend in the application space towards systems of loosely coupled and dynamically bound components that enables just-in-time integration jeopardizes the security of information that is shared between the broker, the requester, and the provider at runtime. In particular, new advances in data mining and knowledge discovery, that allow for the extraction of hidden knowledge in enormous...
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The privacy preserving data mining (PPDM) has been one of the most interesting, yet challenging, research issues. In the PPDM, we seek to outsource our data for data mining tasks to a third party while maintaining its privacy. In this paper, we revise one of the recent PPDM schemes (i.e., FS) which is designed for privacy preserving association rule mining (PP-ARM). Our analysis shows some limi...
متن کاملPrivacy-Preserving Distributed Association-Rule-Mining Algorithm
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, the discovering of such hidden patterns has statistical meaning and may often disclose some sensitive information. As a result, privacy becomes one of the prime concerns in the datamining research community. Since distributed association mining discovers ass...
متن کاملPrivacy Preserving Association Rule in Data Mining
Privacy is an important issue in Data mining. The privacy field has seen speedy advances in current years because ability to store data has increased. Precisely, current advances in the data mining field have led to increased concerns about privacy. Privacy-preserving data mining has been studied extensively, because of the wide proliferation of sensitive information on the internet. . Many met...
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ژورنال
عنوان ژورنال: Journal of Network and Computer Applications
سال: 2007
ISSN: 1084-8045
DOI: 10.1016/j.jnca.2006.04.010