Association Rule Hiding based on Heuristic Approach by Deleting Item at R. H. S. Side of Sensitive Rule
نویسندگان
چکیده
منابع مشابه
Hiding Sensitive Association Rule Using Clusters of Sensitive Association Rule
The security of the large database that contains certain crucial information, it will become a serious issue when sharing data to the network against unauthorized access. Association rules hiding algorithms get strong and efficient performance for protecting confidential and crucial data. The objective of the proposed Association rule hiding algorithm for privacy preserving data mining is to hi...
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Association rule mining is a powerful model of data mining used for finding hidden patterns in large databases. One of the great challenges of data mining is to protect the confidentiality of sensitive patterns when releasing database to third parties. Association rule hiding algorithms sanitize database such that certain sensitive association rules cannot be discovered through association rule...
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Extracting knowledge from large amount of data while preserving the sensitive information is an important issue in data mining. Providing security to sensitive data against unauthorized access has been a long term goal for the database security research community. Almost all the research in privacy preservation is limited to binary dataset. Business and scientific data contain both quantitative...
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As large repositories of data contain confidential rules that must be protected before published, association rule hiding becomes one of important privacy preserving data mining problems. Compared with traditional data modification methods, data reconstruction is a new promising, but not sufficiently investigated method, which is inspired by the inverse frequent set mining problem. In my PhD pe...
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Privacy preserving data mining is a novel research direction in data mining and statistical databases, which has recently been proposed in response to the concerns of preserving personal or sensible information derived from data mining algorithms. There have been two types of privacy proposed concerning data mining. The first type of privacy, called output privacy, is that the data is altered s...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/21721-4870