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Future Internet
Volume 17
Issue 5
10.3390/fi17050206
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

XGBoost-Based Detection of DDoS Attacks in Named Data Networking

by
Liang Liu
1,
Weiqing Yu
1,
Zhijun Wu
1,* and
Silin Peng
2
1
College of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
2
School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 518107, China
*
Author to whom correspondence should be addressed.
Future Internet 2025, 17(5), 206; https://doi.org/10.3390/fi17050206
Submission received: 10 March 2025 / Revised: 25 April 2025 / Accepted: 2 May 2025 / Published: 4 May 2025
Versions Notes

Abstract

Named Data Networking (NDN) is highly susceptible to Distributed Denial of Service (DDoS) attacks, such as Interest Flooding Attack (IFA) and Cache Pollution Attack (CPA). These attacks exploit the inherent data retrieval and caching mechanisms of NDN, leading to severe disruptions in data availability and network efficiency, thereby undermining the overall performance and reliability of the system. In this paper, an attack detection method based on an improved XGBoost is proposed and applied to the hybrid attack pattern of IFA and CPA. Through experiments, the performance of the new attacks and the efficacy of the detection algorithm are analyzed. In comparison with other algorithms, the proposed method is demonstrated to have advantages in terms of the advanced nature of the proposed classifier, which is confirmed by the AUC-score.
Keywords: Distributed Denial of Service; Named Data Networking; detection method; XGBoost Distributed Denial of Service; Named Data Networking; detection method; XGBoost

Share and Cite

MDPI and ACS Style

Liu, L.; Yu, W.; Wu, Z.; Peng, S. XGBoost-Based Detection of DDoS Attacks in Named Data Networking. Future Internet 2025, 17, 206. https://doi.org/10.3390/fi17050206

AMA Style

Liu L, Yu W, Wu Z, Peng S. XGBoost-Based Detection of DDoS Attacks in Named Data Networking. Future Internet. 2025; 17(5):206. https://doi.org/10.3390/fi17050206

Chicago/Turabian Style

Liu, Liang, Weiqing Yu, Zhijun Wu, and Silin Peng. 2025. "XGBoost-Based Detection of DDoS Attacks in Named Data Networking" Future Internet 17, no. 5: 206. https://doi.org/10.3390/fi17050206

APA Style

Liu, L., Yu, W., Wu, Z., & Peng, S. (2025). XGBoost-Based Detection of DDoS Attacks in Named Data Networking. Future Internet, 17(5), 206. https://doi.org/10.3390/fi17050206

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