A Security Framework for Big Data Computing through Distributed Cloud Data Centres in G Hadoop
Map Reduce is regarded as an adequate programming model for large scale data intensive applications. The hadoop framework is a well known map reduce implementation that runs the map reduce tasks on cluster system .G hadoop Is an extension of the hadoop map reduce framework with the functionality of allowing the map reduce tasks to run on multiple clusters. However, G hadoop simply reuses the user authentication and job submission mechanism of hadoop, which is designed for a single cluster. This Work proposes a new security model for G hadoop. The security model is based on several security solutions such as public key cryptography and the SSL protocol, and is dedicatedly designed for distributed environments. This security framework provides a number of different security mechanisms to protect the Ghadoop system from traditional attacks. Keyword: Big data, G Hadoop, authentication, Security, Encryption.