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

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...

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Veröffentlicht in:International Computer Engineering Conference (Online) S. 44 - 49
1. Verfasser: Hussein, Omar
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2019
Schlagworte:
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
Online-Zugang:Volltext
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Zusammenfassung: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.
ISSN:2475-2320
DOI:10.1109/ICENCO48310.2019.9027300