An Efficient Incremental Clustering Method for Incremental Cloud Data

Cloud Computing is a technology that uses the internet and central remote servers to maintain data and applications. Cloud computing allows consumers and businesses to use applications without installation and access their personal files at any computer with internet access. This technology allows for much more efficient computing by centralizing data storage, processing and bandwidth. Typically, the data sets in these applications are anonymized using K-anonymity to assert the privacy of data owners but the privacy requirements can be violated when new data join over time. Traditional clustering algorithms are static in nature .In this paper new ways of Incremental clustering algorithms are discussed. This algorithm clusters data in dynamic form. The database is assumed to be clustered initially and every new element is added as without need of changing existing clustered database. Keywords— IGCA, Incremental Clustering, Anonymization, k-anonimity, Genetic clustering