Filtration Model For DDoS Attack Detection in Real-Time

Filtering traffic of distributed denial of services (DDoS) attack requires extra overhead which mostly results in network performance degradation. This study proposes a filtration model for detecting DDoS attack in real-time without causing negative degradation against network performance. The mode...

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Main Author: Ahmed, Abdulghani Ali
Format: Article
Language:English
Published: Penerbit UMP 2015
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Online Access:http://umpir.ump.edu.my/id/eprint/9146/1/Filtration%20Model%20For%20DDoS%20Attack%20Detection%20in%20Real-Time.pdf
http://umpir.ump.edu.my/id/eprint/9146/
http://ijsecs.ump.edu.my/images/archive/vol1/08Abdulghani_IJSECS.pdf
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Institution: Universiti Malaysia Pahang Al-Sultan Abdullah
Language: English
id my.ump.umpir.9146
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spelling my.ump.umpir.91462018-05-16T07:43:23Z http://umpir.ump.edu.my/id/eprint/9146/ Filtration Model For DDoS Attack Detection in Real-Time Ahmed, Abdulghani Ali QA76 Computer software Filtering traffic of distributed denial of services (DDoS) attack requires extra overhead which mostly results in network performance degradation. This study proposes a filtration model for detecting DDoS attack in real-time without causing negative degradation against network performance. The model investigates network traffic in a scalable way to detect user violations on quality of service regulations. Traffic investigation is triggered only when the network is congested; at that exact moment, burst gateways actually generate an explicit congestion notification to misbehaving users. The misbehaving users are thus further investigated by measuring their consumption ratios of bandwidth. By exceeding the service level agreement bandwidth ratio, user traffic is filtered as malicious traffic. Simulation results demonstrate that the proposed model efficiently monitors malicious traffic and precisely detects DDoS attack. Penerbit UMP 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9146/1/Filtration%20Model%20For%20DDoS%20Attack%20Detection%20in%20Real-Time.pdf Ahmed, Abdulghani Ali (2015) Filtration Model For DDoS Attack Detection in Real-Time. International Journal of Software Engineering & Computer Sciences (IJSECS), 1. pp. 95-108. ISSN 2289-8522. (Published) http://ijsecs.ump.edu.my/images/archive/vol1/08Abdulghani_IJSECS.pdf
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Ahmed, Abdulghani Ali
Filtration Model For DDoS Attack Detection in Real-Time
description Filtering traffic of distributed denial of services (DDoS) attack requires extra overhead which mostly results in network performance degradation. This study proposes a filtration model for detecting DDoS attack in real-time without causing negative degradation against network performance. The model investigates network traffic in a scalable way to detect user violations on quality of service regulations. Traffic investigation is triggered only when the network is congested; at that exact moment, burst gateways actually generate an explicit congestion notification to misbehaving users. The misbehaving users are thus further investigated by measuring their consumption ratios of bandwidth. By exceeding the service level agreement bandwidth ratio, user traffic is filtered as malicious traffic. Simulation results demonstrate that the proposed model efficiently monitors malicious traffic and precisely detects DDoS attack.
format Article
author Ahmed, Abdulghani Ali
author_facet Ahmed, Abdulghani Ali
author_sort Ahmed, Abdulghani Ali
title Filtration Model For DDoS Attack Detection in Real-Time
title_short Filtration Model For DDoS Attack Detection in Real-Time
title_full Filtration Model For DDoS Attack Detection in Real-Time
title_fullStr Filtration Model For DDoS Attack Detection in Real-Time
title_full_unstemmed Filtration Model For DDoS Attack Detection in Real-Time
title_sort filtration model for ddos attack detection in real-time
publisher Penerbit UMP
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/9146/1/Filtration%20Model%20For%20DDoS%20Attack%20Detection%20in%20Real-Time.pdf
http://umpir.ump.edu.my/id/eprint/9146/
http://ijsecs.ump.edu.my/images/archive/vol1/08Abdulghani_IJSECS.pdf
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