RSA Based Secret Key Generation for Privacy Preserving Association Rule Hiding
Salvath Rumi, Dr. Shreedhara K S
PRIVACY PRESERVING DATA MINING, ASSOCIATION RULE HIDIND, PSO
There is a probability that during the event of data mining, the information can be exposes to several parties and this will lead to the breach of individual privacy. However, this problem can be solved by applying the Privacy Preserving Data Mining. This paper involves two stages: At first, Association rules are generated for the input database using Apriori algorithm. In association rule mining, leakage of sensitive data can cause potential threats to privacy and protection. So to hide the sensitive rules, in the second stage the two techniques that is anonymization and cryptosystem are applied to maintain privacy. Anonymization is a method of protecting the private data of individual using methods like suppression and generalization. Through cryptosystem secret key is generated which encrypt the private data. The type of encryption that is used here is RSA encryption. The result of the proposed system is compared with existing technique that is Particle swarm optimization. The result will then be measured by specific parameters measurements, which are the privacy level and mining quality (data loss).