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

• Published in: International Computer Engineering Conference (Online) pp. 44 - 49
• Main Author: Hussein, Omar
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2019
• Subjects: apache hadoop distributed file system security; Authentication; big data security; Cloud computing; Computer architecture; File systems; Metadata; public cloud; security threats; security vulnerabilities; Virtual machine monitors
• ISSN: 2475-2320
• DOI: 10.1109/ICENCO48310.2019.9027300

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.