A hybrid machine learning framework for intrusion detection …
Jul 9, 2024 · Intrusion Detection Systems (IDS) are critical components of cyber security, designed to identify and prevent malicious activities on computer networks. Machine learning (ML) techniques …
A Novel Ensemble of Deep Learning Approach for Cybersecurity
Jul 17, 2025 · This study presents a novel, hybrid ensemble learning-based intrusion detection framework that integrates deep learning and traditional ML algorithms with explainable artificial …
Machine learning-enabled hybrid intrusion detection system with …
Aug 1, 2024 · In this work, we propose machine learning-enabled intrusion detection system and an advanced two-stage classifier for network intrusion detection with hybrid host and flow data. …
DTL-IDS: An optimized Intrusion Detection Framework using Deep …
Jan 1, 2024 · An intrusion detection system (IDS) is considered a second-line defensive framework frequently used in conjunction with other security mechanisms to protect IIoT networks from …
Intrusion Detection System Using Machine Learning Algorithms
Jul 10, 2025 · Intrusion Detection System is a software application that detects network intrusion using various machine learning algorithms. IDS monitors a network or system for malicious activity and …
A novel intrusion detection framework for optimizing IoT security
Sep 18, 2024 · Similar content being viewed by others Machine learning based intrusion detection framework for detecting security attacks in internet of things Article Open access 04 December 2024
Federated Machine Learning to Enable Intrusion Detection Systems …
Mar 17, 2025 · Using a federated learning framework, we trained and evaluated several machine learning models to identify distributed denial-of-service attacks in IoT systems. Our framework …
Network Intrusion Detection and Prevention System Using Hybrid Machine …
In this work, a hybrid intrusion detection framework that combines the complementary strengths of supervised and unsupervised machine learning models through an ensemble stacking model is …
Intelligent intrusion detection framework for multi-clouds – IoT ...
Sep 22, 2023 · This paper is a novel and intelligent attempt to upgrade the Intrusion Detection Framework (IDF) using a swarm-based deep learning classifier. The proposed IDF consists of three …
Machine learning based multi-stage intrusion detection system and ...
Jul 25, 2025 · Cloud computing is essential to the suggested study framework because it allows for the efficient, scalable, and real-time processing of intrusion detection activities.