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Investigation Model for Ddos Attack Detection in Real-Time

Ahmed, Abdulghani Ali (2015) Investigation Model for Ddos Attack Detection in Real-Time. International Journal of Software Engineering & Computer Sciences (IJSECS), 1. pp. 93-105. ISSN 2289-8522

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Abstract

Investigating traffic of distributed denial of services (DDoS) attack requires extra overhead which mostly results in network performance degradation. This study proposes an investigation 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 a 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 DDoS traffic. Simulation results demonstrate that the proposed model efficiently monitors intrusive traffic and precisely detects DDoS attack.

Item Type: Article
Uncontrolled Keywords: QoS regulations; RED-enabled gateways; SLA violations; DDoS
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 24 Feb 2016 06:10
Last Modified: 16 May 2018 08:00
URI: http://umpir.ump.edu.my/id/eprint/11843
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