University of Oulu

C. Benzaïd, M. Boukhalfa and T. Taleb, "Robust Self-Protection Against Application-Layer (D)DoS Attacks in SDN Environment," 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, Korea (South), 2020, pp. 1-6, doi: 10.1109/WCNC45663.2020.9120472

Robust self-protection against application-layer (D)DoS attacks in SDN environment

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Author: Benzaïd, Chafika1; Boukhalfa, Mohammed1; Taleb, Tarik1,2
Organizations: 1Aalto University, Espoo, Finland
2University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2021-02-19


The expected high bandwidth of 5G and the envisioned massive number of connected devices will open the door to increased and sophisticated attacks, such as application-layer DDoS attacks. Application-layer DDoS attacks are complex to detect and mitigate due to their stealthy nature and their ability to mimic genuine behavior. In this work, we propose a robust application-layer DDoS self-protection framework that empowers a fully autonomous detection and mitigation of the application-layer DDoS attacks leveraging on Deep Learning (DL) and SDN enablers. The DL models have been proven vulnerable to adversarial attacks, which aim to fool the DL model into taking wrong decisions. To overcome this issue, we build a DL-based application-layer DDoS detection model that is robust to adversarial examples. The performance results show the effectiveness of the proposed framework in protecting against application-layer DDoS attacks even in the presence of adversarial attacks.

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Series: IEEE Wireless Communications and Networking Conference
ISSN: 1525-3511
ISSN-E: 1558-2612
ISSN-L: 1525-3511
ISBN: 978-1-7281-3106-1
ISBN Print: 978-1-7281-3107-8
Article number: 19711031
DOI: 10.1109/WCNC45663.2020.9120472
Host publication: 2020 IEEE Wireless Communications and Networking Conference (WCNC)
Conference: IEEE Wireless Communications and Networking Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the European Union’s Horizon 2020 research and innovation programme under the INSPIRE-5Gplus project (Grant No. 871808), the Academy of Finland Project CSN (Grant No. 311654), and the Academy of Finland Project 6Genesis Flagship (Grant No. 318927).
EU Grant Number: (871808) INSPIRE-5Gplus - INtelligent Security and PervasIve tRust for 5G and Beyond
Academy of Finland Grant Number: 311654
Detailed Information: 311654 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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