Security Vulnerabilities in Hadoop Framework
Gousiya Begum1, S. Zahoor Ul Huq2, A.P. Siva Kumar3
1Gousiya Begum, Research Scholar, Assistant Professor, Department of CSE, JNTUA, Anantapuramu, MGIT, Hyderabad (Telangana), India.
2Dr. S. Zahoor Ul Huq, Professor, Department of CSE, GPREC, Kurnool (A.P), India.
3Dr. A. P. Siva Kumar, Assistant Professor, Department of CSE, JNUTA, Anantapuramu (A.P), India.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 25-28 | Volume-8 Issue-4, February 2019 | Retrieval Number: C2599018319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Apache Hadoop emerged as the widely used distributed parallel computing framework for Big Data Processing. Apache Hadoop is an open source framework suitable for processing large scale data sets using clusters of computers. Data is stored in Hadoop using Hadoop Distributed File System. Though Hadoop is widely used for distributed parallel processing of Big Data, some security vulnerabilities does exist. As part of our research we have investigated Hadoop Framework for possible security vulnerabilities and also demonstrated the mechanism to address the identified security vulnerabilities. Our findings include the vulnerabilities in logging mechanism, file system vulnerabilities, and addition of external jar files to the framework. we have addressed these vulnerabilities using custom Map Reduce jobs.
Keyword: Custom Map Reduce, Hadoop Distributed File System, Hadoop Framework, Security Vulnerabilities.
Scope of the Article: Security, Trust and Privacy