Swarm Optimization Algorithm for Privacy Preserving in Data Mining

Provided by: International Journal of Computer Science Issues
Topic: Security
Format: PDF
Free competition in business can be compromised as data mining techniques reveal critical information about business transactions. Hence, there is a need to ensure prevention of disclosures both of confidential personal information which is contextually sensitive. Literature is abounding with state-of-the-art methods for privacy preserving Evolutionary Algorithms (EAs) that give solutions to real-world optimization problems. Existing EA solutions are specific to cost function evaluation in privacy-preserving domains. This paper proposes implementation of Particle Swarm Optimization (PSO) to locate an optimal generalized feature set.

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