Empirical comparisons with existing privacy-preserving algorithms show that SEAL excels in execution speed, scalability, accuracy, and attack resistance. SEAL provides flexibility in choosing the best possible privacy parameters, such as the amount of added noise, which can be tailored to the domain and dataset.doi:10.1016...
CSSP allows one to reuse the already cached data and thus, it greatly reduces the running time of any privacy-preserving data mining algorithms that adopt it. We also conduct experiments on real-life datasets to show the efficiency of the protocol....
However, data mining algorithms are typically complex and, furthermore, the input usually consists of massive data sets. The generic protocols in such a case are of no practical use and therefore more efficient protocols are required. We focus on the problem of decision tree learning with the ...
canbesolvedusingknowngenericprotocols.However,dataminingalgorithmsaretypicallycomplexand,furthermore,theinputusuallyconsistsofmassivedatasets.Thegenericprotocolsinsuchacaseareofnopracticaluseandthereforemoreefficientprotocolsarerequired.WefocusontheproblemofdecisiontreelearningwiththepopularID3algorithm.Ourprotocolis...
The main objective of privacy-preserving data mining is to develop algorithms for modifying the original data in some way so that the private data and private knowledge remain private even after the mining process. This type of analysis to meet with high temporal and spatial granularity of time-...
Privacy preserving data mining algorithms gives solution for the privacy problem. PPDM gives valid data mining results and also guarantees privacy protection for sensitive data stored in the data warehouse. In this paper we analyzed the threats to privacy that canoccur due to data mining process. ...
have been suggested in recent years in order to perform privacy preserving data mining. However, most of these privacy preserving data mining algorithms such as the Secure Multiparty Computation technique, were based on the assumption of a semi-honest environment, where the participating parties always...
Data mining is a key technology in big data analytics and it can discover understandable knowledge (patterns) hidden in large data sets. Association rule is one of the most useful knowledge patterns, and a large number of algorithms have been developed in the data mining literature to generate ...
Privacy Preserving Data Mining Advances in information security 热度: Mining positive and negative association rules 热度: Fast algorithms for mining association rules 热度: PrivacyPreservingMiningof AssociationRules AlexandreEvfimievski, RamakrishnanSrikant, ...
Fig. 3.Privacy-preserving data mining. Note that it is possible to create a synthetic database by issuing a query that output the private databaseD, as discussed inChen et al. (2011). However, as pointed out inClifton and Tassa (2013), the utility of this synthetic database maybe too...