Privacy Preserving Data Mining With Classification And Encryption Methods
نویسنده
چکیده
Data mining can be performed with four different directions Association, Clustering, Classification and the Bayesian formula. In the recent years, many privacy preserving techniques are developed. These techniques are used to provide the privacy to the data. Here privacy related various information is gathered with their brief introduction. Here mainly focus is on the classification decision tree and the various encryption methods. In the cryptography both symmetric and asymmetric encryption algorithms are described here. Among them any of the encryption algorithms can be used in the privacy preserving data mining. So here both Decision tree algorithms and some encryption methods are surveyed.
منابع مشابه
Browse searchable encryption schemes: Classification, methods and recent developments
With the advent of cloud computing, data owners tend to submit their data to cloud servers and allow users to access data when needed. However, outsourcing sensitive data will lead to privacy issues. Encrypting data before outsourcing solves privacy issues, but in this case, we will lose the ability to search the data. Searchable encryption (SE) schemes have been proposed to achieve this featur...
متن کاملPrivacy-Preserving Distributed Data Mining Techniques: A Survey
In various distributed data mining settings, leakage of the real data is not adequate because of privacy issues. To overcome this problem, numerous privacy-preserving distributed data mining practices have been suggested such as protect privacy of their data by perturbing it with a randomization algorithm and using cryptographic techniques. In this paper, we review and provide extensive survey ...
متن کاملEvaluation of Encryption Algorithms for Privacy Preserving Association Rules Mining
Encryption algorithms used in privacy preserving protocols can be affected on overall performance. In this paper we study several encryption algorithms with two methods of privacy preserving association rule mining on distributed horizontal database (PPARM4, and PPARM3). The first method PPARM4 computes association rules that hold globally while limiting the information shared about each site i...
متن کاملAn Improved Version of Rob Frugal Algorithm for Privacy Preserving Mining of Association Rules
Privacy preserving data mining (PPDM) deals with protecting the privacy of individual data or sensitive knowledge without sacrificing the utility of the data. To protect corporate privacy, the data owner will perform Rob Frugal encryption scheme and transforms it to the server. Data owner will send the mining queries to the server and recovers true patterns from the extracted patterns received ...
متن کاملPrivacy-Preserving Clustering Using Representatives over Arbitrarily Partitioned Data∗
The challenge in privacy-preserving data mining is avoiding the invasion of personal data privacy. Secure computation provides a solution to this problem. With the development of this technique, fully homomorphic encryption has been realized after decades of research; this encryption enables the computing and obtaining results via encrypted data without accessing any plaintext or private key in...
متن کامل