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Emerging Data Security Solutions in HADOOP based Systems: Vulnerabilities and Their Countermeasures


Scalable and Secure Big Data I

Class Agnostic Image Common Ob

3D Reconstruction in Canonical
Abstract


Hadoop is a framework which manages and stores structured or unstructured big data on clusters in a known environment. But the data gets vulnerable due to the lack of default potent security tools in Hadoop. Many security issues which were not given preference earlier emerge due to its flexibility. These issues are dangerous for our data and could lead to an attack. The users are forced to install various external security tools to protect their data clusters. The security of Hadoop framework is getting better in the versions but it has a very little effect. The goals of this paper are to provide an in-depth survey of Hadoop framework, to provide some information about Hadoop security threats, to outline their challenges and resolve the issues. Further, we acknowledge the challenges associated based on security services of Hadoop to spur the further analysis.

KeyWords
Hadoop, HDFS, MapReduce, vulnerabilities, security issues, security tools



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