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Ensemble-based DDoS detection and mitigation model
Author(s) -
Sajal Bhatia,
Desmond Schmidt,
George Mohay
Publication year - 2012
Publication title -
qut eprints (queensland university of technology)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2388576.2388587
Subject(s) - denial of service attack , computer science , server , generator (circuit theory) , traffic generation model , computer network , software , application layer , data mining , distributed computing , the internet , operating system , power (physics) , physics , quantum mechanics
This work-in-progress paper presents an ensemble-based model\udfor detecting and mitigating Distributed Denial-of-Service (DDoS) attacks, and its partial implementation. The model utilises network traffic analysis and MIB (Management Information Base) server load analysis features for detecting a wide range of network and application layer DDoS attacks and distinguishing them from Flash Events. The proposed model will be evaluated against realistic synthetic network traffic generated using a software-based traffic generator that we have developed as part of this research. In this paper, we summarise our previous work, highlight the current work being undertaken along with preliminary results obtained and outline the future directions of our work

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