Cover Image

An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Alqahtani, Abdullah H
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
by: Bensaoud, Ahmed, et al.
Published: (2025)

Deep learning based intelligent IDS for Large-scale IoT networks
by: Andrade, Isha, et al.
Published: (2026)

Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
by: Syed, Toqeer Ali, et al.
Published: (2025)

DAIRE: A lightweight AI model for real-time detection of Controller Area Network attacks in the Internet of Vehicles
by: Alam, Shahid, et al.
Published: (2026)

MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library
by: Islam, Md Shamimul, et al.
Published: (2026)

Unseen Attack Detection in Software-Defined Networking Using a BERT-Based Large Language Model
by: Swileh, Mohammed N., et al.
Published: (2024)

Capturing the security expert knowledge in feature selection for web application attack detection
by: Riverol, Amanda, et al.
Published: (2024)

Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
by: Venturi, Andrea, et al.
Published: (2024)

Hybrid IDS Using Signature-Based and Anomaly-Based Detection
by: Boutassetta, Messaouda, et al.
Published: (2026)

CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data
by: Zeng, Yifan
Published: (2025)

PROVEX: Enhancing SOC Analyst Trust with Explainable Provenance-Based IDS
by: Dhanuka, Devang, et al.
Published: (2025)

Secured Communication Schemes for UAVs in 5G: CRYSTALS-Kyber and IDS
by: Sharma, Taneya, et al.
Published: (2025)

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)

Multidomain transformer-based deep learning for early detection of network intrusion
by: Liu, Jinxin, et al.
Published: (2023)

Detection of ransomware attacks using federated learning based on the CNN model
by: Nguyen, Hong-Nhung, et al.
Published: (2024)

ThreatFormer-IDS: Robust Transformer Intrusion Detection with Zero-Day Generalization and Explainable Attribution
by: Nayak, Srikumar
Published: (2026)

Behavior-Aware and Generalizable Defense Against Black-Box Adversarial Attacks for ML-Based IDS
by: Ennaji, Sabrine, et al.
Published: (2025)

A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method
by: Shaker, Bassam Noori, et al.
Published: (2025)

GMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection Performance
by: Mu, Ziyu, et al.
Published: (2026)

AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection
by: Koli, Lokesh, et al.
Published: (2025)

Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks
by: Legashev, Leonid, et al.
Published: (2025)

C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks
by: Mustafa, Osama, et al.
Published: (2024)

A Robust Cross-Domain IDS using BiGRU-LSTM-Attention for Medical and Industrial IoT Security
by: Gueriani, Afrah, et al.
Published: (2025)

Evaluating False Alarm and Missing Attacks in CAN IDS
by: Hossain, Nirab, et al.
Published: (2026)

MEASER: Malware embedding attacks on open-source LLMs
by: Tan, Ming, et al.
Published: (2025)

Adversarial attacks against Modern Vision-Language Models
by: La Torre, Alejandro Paredes
Published: (2026)

Effective backdoor attack on graph neural networks in link prediction tasks
by: Dai, Jiazhu, et al.
Published: (2024)

FAST-IDS: A Fast Two-Stage Intrusion Detection System with Hybrid Compression for Real-Time Threat Detection in Connected and Autonomous Vehicles
by: S, Devika, et al.
Published: (2025)

Context manipulation attacks : Web agents are susceptible to corrupted memory
by: Patlan, Atharv Singh, et al.
Published: (2025)

Anomaly detection in network flows using unsupervised online machine learning
by: Miguel-Diez, Alberto, et al.
Published: (2025)

Analysis and prevention of AI-based phishing email attacks
by: Eze, Chibuike Samuel, et al.
Published: (2024)

Network evasion detection with Bi-LSTM model
by: Chen, Kehua, et al.
Published: (2025)

A general approach to enhance the survivability of backdoor attacks by decision path coupling
by: Zhao, Yufei, et al.
Published: (2024)

AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN)
by: Guerra, Lorenzo, et al.
Published: (2024)

BadSNN: Backdoor Attacks on Spiking Neural Networks via Adversarial Spiking Neuron
by: Miah, Abdullah Arafat, et al.
Published: (2026)

AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks
by: Xu, Jiacen, et al.
Published: (2024)

CST-AFNet: A dual attention-based deep learning framework for intrusion detection in IoT networks
by: Ishtiaq, Waqas, et al.
Published: (2025)

An explainable Recursive Feature Elimination to detect Advanced Persistent Threats using Random Forest classifier
by: Mutalib, Noor Hazlina Abdul, et al.
Published: (2025)

LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software
by: Rashid, Syed Md Mukit, et al.
Published: (2026)

Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble
by: Xue, Yunzhe, et al.
Published: (2024)