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Identification of Threats and Vulnerabilities in Public Cloud-Based Apache Hadoop Distributed File System


Scalable and Secure Big Data I
Abstract


Information security issues in public clouds are amplified by Big Data‚??s unique security challenges originating from its volumetric data storage from a wide variety of sources and structures. Apache Hadoop (AH) framework is driving the Big Data paradigm is for its effectiveness in processing large datasets. AH is a typical Platform-as-a-Service cloud computing model. It is centered on the underlying Hadoop Distributed File System (HDFS). AH was originally designed to run in a well controlled private computing environment. However, when AH operates in a public cloud in large clusters, its built-in security mechanisms are subject to different types of threats. Motivated by such fundamental design concept and deployment computing environment, and for HDFS being a core component of AH, the contribution of this paper is to identify, expose, and discuss security threats and vulnerabilities in public cloud-based HDFS.

KeyWords
big data security,apache hadoop distributed file system security, public cloud, security threats, security vulnerabilities



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