Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event

The goal of the thesis is to propose an approach that can detect flash crowd attacks that target web servers during flash events. The proposed approach consists of four phases to achieve the goal of the research. The proposed approach is evaluated using three different datasets distributed in three...

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Main Author:	Al-Saleem, Samer Abdulsada Mutlag
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TK5105 Computer networks and Data transmission systems
Online Access:	http://eprints.usm.my/47734/1/ANOMALY-BASED%20DETECTION%20APPROACH%20TO.pdf%20cut.pdf
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id	my-usm-ep.47734
record_format	uketd_dc
spelling	my-usm-ep.477342020-10-23T08:57:06Z Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event 2017-12 Al-Saleem, Samer Abdulsada Mutlag TK5105 Computer networks and Data transmission systems The goal of the thesis is to propose an approach that can detect flash crowd attacks that target web servers during flash events. The proposed approach consists of four phases to achieve the goal of the research. The proposed approach is evaluated using three different datasets distributed in three scenarios. The first scenario is aimed to validate the detection accuracy of the proposed approach when a web server is in a normal situation (when there is no threat targeting the server). The second scenario (flash event dataset) is aimed to improve the accuracy of the proposed approach in detecting anomalous behaviour when the server is facing a flash event. The third scenario (flash crowd attack dataset) is aimed to verify and validate the accuracy of the proposed approach in terms of detecting the flash crowd attack that targets the web server during the flash event. 2017-12 Thesis http://eprints.usm.my/47734/ http://eprints.usm.my/47734/1/ANOMALY-BASED%20DETECTION%20APPROACH%20TO.pdf%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat IPv6 Termaju Negara (National Advanced IPv6 Centre of Excellence NAv6)
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK5105 Computer networks and Data transmission systems
spellingShingle	TK5105 Computer networks and Data transmission systems Al-Saleem, Samer Abdulsada Mutlag Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event
description	The goal of the thesis is to propose an approach that can detect flash crowd attacks that target web servers during flash events. The proposed approach consists of four phases to achieve the goal of the research. The proposed approach is evaluated using three different datasets distributed in three scenarios. The first scenario is aimed to validate the detection accuracy of the proposed approach when a web server is in a normal situation (when there is no threat targeting the server). The second scenario (flash event dataset) is aimed to improve the accuracy of the proposed approach in detecting anomalous behaviour when the server is facing a flash event. The third scenario (flash crowd attack dataset) is aimed to verify and validate the accuracy of the proposed approach in terms of detecting the flash crowd attack that targets the web server during the flash event.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Al-Saleem, Samer Abdulsada Mutlag
author_facet	Al-Saleem, Samer Abdulsada Mutlag
author_sort	Al-Saleem, Samer Abdulsada Mutlag
title	Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event
title_short	Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event
title_full	Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event
title_fullStr	Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event
title_full_unstemmed	Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event
title_sort	anomaly-based detection approach to detect the flash crowd attack during the flash event
granting_institution	Universiti Sains Malaysia
granting_department	Pusat IPv6 Termaju Negara (National Advanced IPv6 Centre of Excellence NAv6)
publishDate	2017
url	http://eprints.usm.my/47734/1/ANOMALY-BASED%20DETECTION%20APPROACH%20TO.pdf%20cut.pdf
_version_	1747821821911105536

Anomaly-Based Detection Approach To Detect The Flash Crowd Attack During The Flash Event

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