K-Medoids Computation Model Framework for Security in Distributed Architecture Networks

Provided by: International Journal of Computer Applications
Topic: Networking
Format: PDF
In many of the researches in the recent years, the privacy preserving data clustering based on the k means algorithm and applying the method of secure multi-tasking communication with different datasets was discussed. There are two types of security models that are semi-honest adversary model and malicious adversary model. In this paper, a method was proposed to maintain the networks with low cost for more processing of data. It contains simple framework to maintain the data in refine method and for secure data transfer. And also more data maintenance with clustering capability with secure mode.

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