Saved in:
| Main Authors: | Wu, Tongxi, Xu, Chenwei, Yang, Jin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.19273 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
by: Onyeka, Henry, et al.
Published: (2025)
by: Onyeka, Henry, et al.
Published: (2025)
A Transformer-Based Approach for DDoS Attack Detection in IoT Networks
by: Dey, Sandipan, et al.
Published: (2025)
by: Dey, Sandipan, et al.
Published: (2025)
Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
by: Hekmati, Arvin, et al.
Published: (2024)
by: Hekmati, Arvin, et al.
Published: (2024)
Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
by: Elsayed, Nelly
Published: (2026)
by: Elsayed, Nelly
Published: (2026)
Enhancing IoT Security Against DDoS Attacks through Federated Learning
by: Shirvani, Ghazaleh, et al.
Published: (2024)
by: Shirvani, Ghazaleh, et al.
Published: (2024)
A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, et al.
Published: (2025)
A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
by: Shakya, Sushil, et al.
Published: (2024)
by: Shakya, Sushil, et al.
Published: (2024)
DDoS Attacks in Cloud Computing: Detection and Prevention
by: Ahmad, Zain, et al.
Published: (2025)
by: Ahmad, Zain, et al.
Published: (2025)
Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
by: Modi, P
Published: (2024)
by: Modi, P
Published: (2024)
Towards Explainable Meta-Learning for DDoS Detection
by: Zhou, Qianru, et al.
Published: (2022)
by: Zhou, Qianru, et al.
Published: (2022)
Rethinking On-Device LLM Reasoning: Why Analogical Mapping Outperforms Abstract Thinking for IoT DDoS Detection
by: Pan, William, et al.
Published: (2026)
by: Pan, William, et al.
Published: (2026)
CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
by: ElSayed, Zag, et al.
Published: (2025)
by: ElSayed, Zag, et al.
Published: (2025)
Intelligent DoS and DDoS Detection: A Hybrid GRU-NTM Approach to Network Security
by: Panggabean, Caroline, et al.
Published: (2025)
by: Panggabean, Caroline, et al.
Published: (2025)
Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication
by: Muktar, Bappa, et al.
Published: (2025)
by: Muktar, Bappa, et al.
Published: (2025)
How To Mitigate And Defend Against DDoS Attacks In IoT Devices
by: Leigha, Ifiyemi, et al.
Published: (2025)
by: Leigha, Ifiyemi, et al.
Published: (2025)
Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
by: Elsayed, Nelly, et al.
Published: (2025)
by: Elsayed, Nelly, et al.
Published: (2025)
Five Minutes of DDoS Brings down Tor: DDoS Attacks on the Tor Directory Protocol and Mitigations
by: Luo, Zhongtang, et al.
Published: (2025)
by: Luo, Zhongtang, et al.
Published: (2025)
Detecting and Mitigating DDoS Attacks with AI: A Survey
by: Apostu, Alexandru, et al.
Published: (2025)
by: Apostu, Alexandru, et al.
Published: (2025)
A Review on the Security Vulnerabilities of the IoMT against Malware Attacks and DDoS
by: Dzamesi, Lily, et al.
Published: (2025)
by: Dzamesi, Lily, et al.
Published: (2025)
The Age of DDoScovery: An Empirical Comparison of Industry and Academic DDoS Assessments
by: Hiesgen, Raphael, et al.
Published: (2024)
by: Hiesgen, Raphael, et al.
Published: (2024)
DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS
by: Li, Qingyang, et al.
Published: (2024)
by: Li, Qingyang, et al.
Published: (2024)
Forecasting Future DDoS Attacks Using Long Short Term Memory (LSTM) Model
by: Yeen, Kong Mun, et al.
Published: (2025)
by: Yeen, Kong Mun, et al.
Published: (2025)
Optimizing DDoS Detection in SDNs Through Machine Learning Models
by: Haque, Md. Ehsanul, et al.
Published: (2025)
by: Haque, Md. Ehsanul, et al.
Published: (2025)
Diffusion-Driven Synthetic Tabular Data Generation for Enhanced DoS/DDoS Attack Classification
by: B, Aravind, et al.
Published: (2026)
by: B, Aravind, et al.
Published: (2026)
Proactive DDoS Detection and Mitigation in Decentralized Software-Defined Networking via Port-Level Monitoring and Zero-Training Large Language Models
by: Swileh, Mohammed N., et al.
Published: (2025)
by: Swileh, Mohammed N., et al.
Published: (2025)
Harnessing PU Learning for Enhanced Cloud-based DDoS Detection: A Comparative Analysis
by: Dilworth, Robert, et al.
Published: (2024)
by: Dilworth, Robert, et al.
Published: (2024)
Holmes: An Evidence-Grounded LLM Agent for Auditable DDoS Investigation in Cloud Networks
by: Chen, Haodong, et al.
Published: (2026)
by: Chen, Haodong, et al.
Published: (2026)
Collaborative P4-SDN DDoS Detection and Mitigation with Early-Exit Neural Networks
by: Karrakchou, Ouassim, et al.
Published: (2025)
by: Karrakchou, Ouassim, et al.
Published: (2025)
Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies
by: Wang, Jincheng, et al.
Published: (2025)
by: Wang, Jincheng, et al.
Published: (2025)
A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection
by: Giryes, Raja, et al.
Published: (2024)
by: Giryes, Raja, et al.
Published: (2024)
Open Set Dandelion Network for IoT Intrusion Detection
by: Wu, Jiashu, et al.
Published: (2023)
by: Wu, Jiashu, et al.
Published: (2023)
Graph Neural Network-Based DDoS Protection for Data Center Infrastructure
by: Sharma, Kartikeya, et al.
Published: (2026)
by: Sharma, Kartikeya, et al.
Published: (2026)
Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
by: Akif, Md Ahnaf, et al.
Published: (2025)
by: Akif, Md Ahnaf, et al.
Published: (2025)
eBPF-Based Real-Time DDoS Mitigation for IoT Edge Devices
by: Tolay, Abdurrahman
Published: (2025)
by: Tolay, Abdurrahman
Published: (2025)
Intelligent Detection and Mitigation of Carpet-Bombing DDoS Attacks in SDN Using Retrieval-Augmented Generation and Large Language Models
by: Swileh, Mohammed N., et al.
Published: (2026)
by: Swileh, Mohammed N., et al.
Published: (2026)
Feature Selection via GANs (GANFS): Enhancing Machine Learning Models for DDoS Mitigation
by: Patel, Harsh
Published: (2025)
by: Patel, Harsh
Published: (2025)
Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning
by: Atitallah, Safa Ben, et al.
Published: (2024)
by: Atitallah, Safa Ben, et al.
Published: (2024)
Security Risks Concerns of Generative AI in the IoT
by: Xu, Honghui, et al.
Published: (2024)
by: Xu, Honghui, et al.
Published: (2024)
Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks
by: Debicha, Islam, et al.
Published: (2026)
by: Debicha, Islam, et al.
Published: (2026)
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
by: Alfatemi, Ali, et al.
Published: (2024)
by: Alfatemi, Ali, et al.
Published: (2024)
Similar Items
-
SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
by: Onyeka, Henry, et al.
Published: (2025) -
A Transformer-Based Approach for DDoS Attack Detection in IoT Networks
by: Dey, Sandipan, et al.
Published: (2025) -
Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
by: Hekmati, Arvin, et al.
Published: (2024) -
Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
by: Elsayed, Nelly
Published: (2026) -
Enhancing IoT Security Against DDoS Attacks through Federated Learning
by: Shirvani, Ghazaleh, et al.
Published: (2024)