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
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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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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
URI https://ieeexplore.ieee.org/document/9027300
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