Imagen de Portada

A Review on the Security Vulnerabilities of the IoMT against Malware Attacks and DDoS

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dzamesi, Lily, Elsayed, Nelly
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Extreme Learning Machine Based System for DDoS Attacks Detections on IoMT Devices
por: Elsayed, Nelly, et al.
Publicado: (2025)

Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
por: Elsayed, Nelly
Publicado: (2026)

CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by crypto jacking prevention Models
por: ElSayed, Zag, et al.
Publicado: (2025)

Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network
por: Hekmati, Arvin, et al.
Publicado: (2024)

Enhancing IoT Security Against DDoS Attacks through Federated Learning
por: Shirvani, Ghazaleh, et al.
Publicado: (2024)

Five Minutes of DDoS Brings down Tor: DDoS Attacks on the Tor Directory Protocol and Mitigations
por: Luo, Zhongtang, et al.
Publicado: (2025)

Securing the Internet of Medical Things (IoMT): Real-World Attack Taxonomy and Practical Security Measures
por: Deb, Suman, et al.
Publicado: (2025)

A Transformer-Based Approach for DDoS Attack Detection in IoT Networks
por: Dey, Sandipan, et al.
Publicado: (2025)

Threats and Security Strategies for IoMT Infusion Pumps
por: Yener, Ramazan, et al.
Publicado: (2025)

Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
por: Modi, P
Publicado: (2024)

Enabling Zero Trust Security in IoMT Edge Network
por: Allouzi, Maha Ali, et al.
Publicado: (2024)

Modern DDoS Threats and Countermeasures: Insights into Emerging Attacks and Detection Strategies
por: Wang, Jincheng, et al.
Publicado: (2025)

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT
por: Jaiswal, Rahul, et al.
Publicado: (2026)

Enhancing IoMT Security with Explainable Machine Learning: A Case Study on the CICIOMT2024 Dataset
por: Yacoubi, Mohammed, et al.
Publicado: (2025)

The Age of DDoScovery: An Empirical Comparison of Industry and Academic DDoS Assessments
por: Hiesgen, Raphael, et al.
Publicado: (2024)

Assessing the Aftermath: the Effects of a Global Takedown against DDoS-for-hire Services
por: Vu, Anh V., et al.
Publicado: (2025)

How To Mitigate And Defend Against DDoS Attacks In IoT Devices
por: Leigha, Ifiyemi, et al.
Publicado: (2025)

A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
por: Shakya, Sushil, et al.
Publicado: (2024)

A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
por: Jaiswal, Rahul, et al.
Publicado: (2026)

Security and Privacy in Virtual and Robotic Assistive Systems: A Comparative Framework
por: Elsayed, Nelly
Publicado: (2026)

DDoS Attacks in Cloud Computing: Detection and Prevention
por: Ahmad, Zain, et al.
Publicado: (2025)

Cybersecurity and Frequent Cyber Attacks on IoT Devices in Healthcare: Issues and Solutions
por: ElSayed, Zag, et al.
Publicado: (2025)

QT-PUF: Quantum Tunneling Leakage Based PUF for Implantable IoMT Devices
por: Ma, Yueqi, et al.
Publicado: (2026)

SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
por: Onyeka, Henry, et al.
Publicado: (2025)

Machine Learning-Based Detection of DDoS Attacks in VANETs for Emergency Vehicle Communication
por: Muktar, Bappa, et al.
Publicado: (2025)

Optimizing DDoS Detection in SDNs Through Machine Learning Models
por: Haque, Md. Ehsanul, et al.
Publicado: (2025)

Detecting and Mitigating DDoS Attacks with AI: A Survey
por: Apostu, Alexandru, et al.
Publicado: (2025)

Intelligent DoS and DDoS Detection: A Hybrid GRU-NTM Approach to Network Security
por: Panggabean, Caroline, et al.
Publicado: (2025)

Forecasting Future DDoS Attacks Using Long Short Term Memory (LSTM) Model
por: Yeen, Kong Mun, et al.
Publicado: (2025)

Multi Layer Protection Against Low Rate DDoS Attacks in Containerized Systems
por: Fareed, Ahmad, et al.
Publicado: (2026)

Graph Neural Network-Based DDoS Protection for Data Center Infrastructure
por: Sharma, Kartikeya, et al.
Publicado: (2026)

SHoM: A Mental-Synthesis Trust Management Model for Mitigating Botnet-Driven DDoS Attacks in the Internet of Things
por: Khyavi, Masoud Hayeri
Publicado: (2025)

A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
por: Hallaji, Ehsan, et al.
Publicado: (2025)

Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on the CICIoMT2024 Dataset
por: Chandekar, Prathamesh, et al.
Publicado: (2025)

Rethinking On-Device LLM Reasoning: Why Analogical Mapping Outperforms Abstract Thinking for IoT DDoS Detection
por: Pan, William, et al.
Publicado: (2026)

A Novel Zero-Trust Machine Learning Green Architecture for Healthcare IoT Cybersecurity: Review, Analysis, and Implementation
por: ElSayed, Zag, et al.
Publicado: (2024)

MixGAN: A Hybrid Semi-Supervised and Generative Approach for DDoS Detection in Cloud-Integrated IoT Networks
por: Wu, Tongxi, et al.
Publicado: (2025)

A Novel Trust-Based DDoS Cyberattack Detection Model for Smart Business Environments
por: Okporokpo, Oghenetejiri, et al.
Publicado: (2025)

A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection
por: Giryes, Raja, et al.
Publicado: (2024)

Collaborative P4-SDN DDoS Detection and Mitigation with Early-Exit Neural Networks
por: Karrakchou, Ouassim, et al.
Publicado: (2025)