A Demonstration of Self-Adaptive Jamming Attack Detection in AI/ML Integrated O-RAN
Fuente:
arXiv
Guardado en:
| Autores principales: | Rahman, Md Habibur, Hossen, Md Sharif, Stephenson, Nathan H., Shah, Vijay K., Da Silva, Aloizio |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
SAJD: Self-Adaptive Jamming Attack Detection in AI/ML Integrated 5G O-RAN Networks
por: Rahman, Md Habibur, et al.
Publicado: (2025)
por: Rahman, Md Habibur, et al.
Publicado: (2025)
Jamming Smarter, Not Harder: Exploiting O-RAN Y1 RAN Analytics for Efficient Interference
por: Ganiyu, Abiodun, et al.
Publicado: (2025)
por: Ganiyu, Abiodun, et al.
Publicado: (2025)
Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms
por: Rahman, Md. Abdur
Publicado: (2025)
por: Rahman, Md. Abdur
Publicado: (2025)
System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular Networks
por: Chiejina, Azuka, et al.
Publicado: (2024)
por: Chiejina, Azuka, et al.
Publicado: (2024)
AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
por: Jahin, Md Abrar, et al.
Publicado: (2025)
por: Jahin, Md Abrar, et al.
Publicado: (2025)
Runtime Detection of Adversarial Attacks in AI Accelerators Using Performance Counters
por: Rahaman, Habibur, et al.
Publicado: (2025)
por: Rahaman, Habibur, et al.
Publicado: (2025)
Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations
por: Rahman, Md Sazedur, et al.
Publicado: (2025)
por: Rahman, Md Sazedur, et al.
Publicado: (2025)
SPADE: Enhancing Adaptive Cyber Deception Strategies with Generative AI and Structured Prompt Engineering
por: Ahmed, Shihab, et al.
Publicado: (2025)
por: Ahmed, Shihab, et al.
Publicado: (2025)
Blockchain-based AI Methods for Managing Industrial IoT: Recent Developments, Integration Challenges and Opportunities
por: Rahman, Anichur, et al.
Publicado: (2024)
por: Rahman, Anichur, et al.
Publicado: (2024)
A Comparative Study of Watering Hole Attack Detection Using Supervised Neural Network
por: Aktar, Mst. Nishita, et al.
Publicado: (2023)
por: Aktar, Mst. Nishita, et al.
Publicado: (2023)
ThermoCAPTCHA: Privacy-Preserving Human Verification with Farm-Resistant Traceable Tokens
por: Paul, Shovon, et al.
Publicado: (2026)
por: Paul, Shovon, et al.
Publicado: (2026)
On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
por: Hossen, Md Imran, et al.
Publicado: (2024)
por: Hossen, Md Imran, et al.
Publicado: (2024)
IoT-enabled Drowsiness Driver Safety Alert System with Real-Time Monitoring Using Integrated Sensors Technology
por: Muiz, Bakhtiar, et al.
Publicado: (2025)
por: Muiz, Bakhtiar, et al.
Publicado: (2025)
ZT-RIC:A Zero Trust RIC Framework for ensuring data Privacy and Confidentiality in Open RAN
por: Lin, Diana, et al.
Publicado: (2024)
por: Lin, Diana, et al.
Publicado: (2024)
Black-Box Evasion Attacks on Data-Driven Open RAN Apps: Tailored Design and Experimental Evaluation
por: Gajjar, Pranshav, et al.
Publicado: (2025)
por: Gajjar, Pranshav, et al.
Publicado: (2025)
PhishGuard: A Multi-Layered Ensemble Model for Optimal Phishing Website Detection
por: Ovi, Md Sultanul Islam, et al.
Publicado: (2024)
por: Ovi, Md Sultanul Islam, et al.
Publicado: (2024)
Optimizing DDoS Detection in SDNs Through Machine Learning Models
por: Haque, Md. Ehsanul, et al.
Publicado: (2025)
por: Haque, Md. Ehsanul, et al.
Publicado: (2025)
Security Vulnerabilities in Software Supply Chain for Autonomous Vehicles
por: Haque, Md Wasiul, et al.
Publicado: (2025)
por: Haque, Md Wasiul, et al.
Publicado: (2025)
Double Backdoored: Converting Code Large Language Model Backdoors to Traditional Malware via Adversarial Instruction Tuning Attacks
por: Hossen, Md Imran, et al.
Publicado: (2024)
por: Hossen, Md Imran, et al.
Publicado: (2024)
DSTAN-Med: Dual-Channel Spatiotemporal Attention with Physiological Plausibility Filtering for False Data Injection Attack Detection in IoT-Based Medical Devices
por: Hasan, Md Mehedi, et al.
Publicado: (2026)
por: Hasan, Md Mehedi, et al.
Publicado: (2026)
Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
por: Hossain, Md Zakir, et al.
Publicado: (2026)
por: Hossain, Md Zakir, et al.
Publicado: (2026)
Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection
por: Rahman, Md Abdur, et al.
Publicado: (2024)
por: Rahman, Md Abdur, et al.
Publicado: (2024)
Towards Quantum-Safe O-RAN -- Experimental Evaluation of ML-KEM-Based IPsec on the E2 Interface
por: Perera, Mario, et al.
Publicado: (2026)
por: Perera, Mario, et al.
Publicado: (2026)
Interoperability and Explicable AI-based Zero-Day Attacks Detection Process in Smart Community
por: Sayduzzaman, Mohammad, et al.
Publicado: (2024)
por: Sayduzzaman, Mohammad, et al.
Publicado: (2024)
Protected QR Code-based Anti-counterfeit System for Pharmaceutical Manufacturing
por: Aulia, Md Masruk, et al.
Publicado: (2024)
por: Aulia, Md Masruk, et al.
Publicado: (2024)
Trackly: A Unified SaaS Platform for User Behavior Analytics and Real Time Rule Based Anomaly Detection
por: Haque, Md Zahurul, et al.
Publicado: (2026)
por: Haque, Md Zahurul, et al.
Publicado: (2026)
Exploring Jamming and Hijacking Attacks for Micro Aerial Drones
por: Mekdad, Yassine, et al.
Publicado: (2024)
por: Mekdad, Yassine, et al.
Publicado: (2024)
Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attacks
por: Dayaratne, Thusitha, et al.
Publicado: (2025)
por: Dayaratne, Thusitha, et al.
Publicado: (2025)
Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
por: Arifin, Md Mashrur, et al.
Publicado: (2026)
por: Arifin, Md Mashrur, et al.
Publicado: (2026)
SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks
por: Ashikuzzaman, et al.
Publicado: (2026)
por: Ashikuzzaman, et al.
Publicado: (2026)
CredSec: A Blockchain-based Secure Credential Management System for University Adoption
por: Habib, Md. Ahsan, et al.
Publicado: (2024)
por: Habib, Md. Ahsan, et al.
Publicado: (2024)
Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing -- A Defense-in-Depth Driven Framework and Taxonomy
por: Rahman, Md Habibor, et al.
Publicado: (2024)
por: Rahman, Md Habibor, et al.
Publicado: (2024)
CITADEL: A Semi-Supervised Active Learning Framework for Malware Detection Under Continuous Distribution Drift
por: Haque, Md Ahsanul, et al.
Publicado: (2025)
por: Haque, Md Ahsanul, et al.
Publicado: (2025)
Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks
por: Smailes, Joshua, et al.
Publicado: (2024)
por: Smailes, Joshua, et al.
Publicado: (2024)
Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection
por: Sayed, Md Abu, et al.
Publicado: (2024)
por: Sayed, Md Abu, et al.
Publicado: (2024)
False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning
por: Uddin, Md Raihan, et al.
Publicado: (2024)
por: Uddin, Md Raihan, et al.
Publicado: (2024)
Can Drift-Adaptive Malware Detectors Be Made Robust? Attacks and Defenses Under White-Box and Black-Box Threats
por: Li, Adrian Shuai, et al.
Publicado: (2026)
por: Li, Adrian Shuai, et al.
Publicado: (2026)
ShieldBypass: On the Persistence of Impedance Leakage Beyond EM Shielding
por: Awal, Md Sadik, et al.
Publicado: (2026)
por: Awal, Md Sadik, et al.
Publicado: (2026)
Modelling Attacks in Blockchain Systems using Petri Nets
por: Shahriar, Md. Atik, et al.
Publicado: (2020)
por: Shahriar, Md. Atik, et al.
Publicado: (2020)
The Role of Learning in Attacking ML-based Network Intrusion Detection
por: Domico, Kyle, et al.
Publicado: (2026)
por: Domico, Kyle, et al.
Publicado: (2026)
Ejemplares similares
-
SAJD: Self-Adaptive Jamming Attack Detection in AI/ML Integrated 5G O-RAN Networks
por: Rahman, Md Habibur, et al.
Publicado: (2025) -
Jamming Smarter, Not Harder: Exploiting O-RAN Y1 RAN Analytics for Efficient Interference
por: Ganiyu, Abiodun, et al.
Publicado: (2025) -
Detection of Distributed Denial of Service Attacks based on Machine Learning Algorithms
por: Rahman, Md. Abdur
Publicado: (2025) -
System-level Analysis of Adversarial Attacks and Defenses on Intelligence in O-RAN based Cellular Networks
por: Chiejina, Azuka, et al.
Publicado: (2024) -
AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
por: Jahin, Md Abrar, et al.
Publicado: (2025)