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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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
Online Access:Get full text
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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.
AbstractList 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.
Author Hussein, Omar
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Snippet Information security issues in public clouds are amplified by Big Data, s unique security challenges originating from its volumetric data storage from a wide...
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StartPage 44
SubjectTerms 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
Title Identification of Threats and Vulnerabilities in Public Cloud-Based Apache Hadoop Distributed File System
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