A Cryptographically Secure Scheme for Preserving Privacy in Association Rule Mining

In this research, the primary focus is on privacy preservation in data mining. In particular, the problem of privacy preservation is addressed when the data is to be provided for applications or association rule mining is to be carried out on the datasets shared among two parties, i.e. the two party case. These scenarios are complex to address since privacy issues also lead to the non availability of correct data; also one must meet privacy requirements accompanied by valid data mining results. A system is proposed that is capable of hiding the sensitive information in the given set of data with the help of cryptographic algorithms. The encrypted data is then analyzed using Apriori algorithm for finding frequent itemsets that can lead to vital business decisions. Results reveal that our system provides strong privacy, guarantees accurate data mining while protecting sensitive information during association rule mining.