International Association of Engineers
Data mining extracts pattern or knowledge from a large amount of data. In the applications that are based on information sharing, an additional challenge is faced; while dealing with data containing sensitive or private information. Common data mining techniques do not address this problem. Therefore, the knowledge extracted from such data may disclose patterns with sensitive or private information. This may put the privacy of individuals or groups, the business strategies and classified information at risk. In the recent past years, Privacy Preserving Data Mining (PPDM) has attracted research interest with potential for wide applications.