Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
Fuente:
arXiv
Saved in:
| Main Authors: | Hekmati, Arvin, Krishnamachari, Bhaskar |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
by: Modi, P
Published: (2024)
by: Modi, P
Published: (2024)
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)
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)
Enhancing IoT Security Against DDoS Attacks through Federated Learning
by: Shirvani, Ghazaleh, et al.
Published: (2024)
by: Shirvani, Ghazaleh, et al.
Published: (2024)
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)
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)
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)
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)
Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
by: Elsayed, Nelly
Published: (2026)
by: Elsayed, Nelly
Published: (2026)
MixGAN: A Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks
by: Wu, Tongxi, et al.
Published: (2025)
by: Wu, Tongxi, et al.
Published: (2025)
Graph Neural Network-Based DDoS Protection for Data Center Infrastructure
by: Sharma, Kartikeya, et al.
Published: (2026)
by: Sharma, Kartikeya, 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)
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)
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)
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)
DDoS Attacks in Cloud Computing: Detection and Prevention
by: Ahmad, Zain, et al.
Published: (2025)
by: Ahmad, Zain, 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)
CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment
by: Gohari, Rasoul Jafari, et al.
Published: (2024)
by: Gohari, Rasoul Jafari, et al.
Published: (2024)
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)
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)
Detecting and Mitigating DDoS Attacks with AI: A Survey
by: Apostu, Alexandru, et al.
Published: (2025)
by: Apostu, Alexandru, et al.
Published: (2025)
A Novel Trust-Based DDoS Cyberattack Detection Model for Smart Business Environments
by: Okporokpo, Oghenetejiri, et al.
Published: (2025)
by: Okporokpo, Oghenetejiri, et al.
Published: (2025)
Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
by: Martinez, Fernando, et al.
Published: (2024)
by: Martinez, Fernando, et al.
Published: (2024)
Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs
by: Chatzimiltis, Sotiris, et al.
Published: (2025)
by: Chatzimiltis, Sotiris, et al.
Published: (2025)
Multi Layer Protection Against Low Rate DDoS Attacks in Containerized Systems
by: Fareed, Ahmad, et al.
Published: (2026)
by: Fareed, Ahmad, et al.
Published: (2026)
eBPF-Based Real-Time DDoS Mitigation for IoT Edge Devices
by: Tolay, Abdurrahman
Published: (2025)
by: Tolay, Abdurrahman
Published: (2025)
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)
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)
Towards Explainable Meta-Learning for DDoS Detection
by: Zhou, Qianru, et al.
Published: (2022)
by: Zhou, Qianru, et al.
Published: (2022)
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)
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)
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)
Lightweight CNN-Based DDoS Detection for Resource-Constrained Edge Networks
by: Ramanathan, Vedanth, et al.
Published: (2023)
by: Ramanathan, Vedanth, et al.
Published: (2023)
SHoM: A Mental-Synthesis Trust Management Model for Mitigating Botnet-Driven DDoS Attacks in the Internet of Things
by: Khyavi, Masoud Hayeri
Published: (2025)
by: Khyavi, Masoud Hayeri
Published: (2025)
Assessing the Aftermath: the Effects of a Global Takedown against DDoS-for-hire Services
by: Vu, Anh V., et al.
Published: (2025)
by: Vu, Anh V., et al.
Published: (2025)
SoK: A Data-driven View on Methods to Detect Reflective Amplification DDoS Attacks Using Honeypots
by: Nawrocki, Marcin, et al.
Published: (2023)
by: Nawrocki, Marcin, et al.
Published: (2023)
Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs
by: Sharma, Ashish, et al.
Published: (2024)
by: Sharma, Ashish, et al.
Published: (2024)
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)
Detection and classification of DDoS flooding attacks by machine learning method
by: Tymoshchuk, Dmytro, et al.
Published: (2024)
by: Tymoshchuk, Dmytro, et al.
Published: (2024)
Similar Items
-
A Transformer-Based Approach for DDoS Attack Detection in IoT Networks
by: Dey, Sandipan, et al.
Published: (2025) -
Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
by: Modi, P
Published: (2024) -
Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
by: Elsayed, Nelly, et al.
Published: (2025) -
A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
by: Shakya, Sushil, et al.
Published: (2024) -
Enhancing IoT Security Against DDoS Attacks through Federated Learning
by: Shirvani, Ghazaleh, et al.
Published: (2024)