Parallel Disseminated Data with Secure Extraction of Association Rule
نویسندگان
چکیده
منابع مشابه
Secure Association Rule Sharing
The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal strategic patterns which we call restrictive rules. These restrictive rules must be protected before sharing since they are paramount for strategic decisions and need to remain private. To address this challenging problem, we propos...
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There has been concern over the apparent conflict between privacy and data mining. There is no inherent conflict, as most types of data mining produce summary results that do not reveal information about individuals. The process of data mining may use private data, leading to the potential for privacy breaches. Secure Multiparty Computation shows that results can be produced without revealing t...
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Today network security, uptime and performance of network are important and serious issue in computer network. Anomaly is deviation from normal behavior which is factor that affects on network security. So Anomaly Extraction which detects and extracts anomalous flow from network is requirement of network operator. Anomaly extraction refers to automatically finding in a large set of flows observ...
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ژورنال
عنوان ژورنال: IARJSET
سال: 2017
ISSN: 2393-8021
DOI: 10.17148/iarjset.2017.4608