Image de couverture de livre

Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Weixing, Yang, Haojin, Meinel, Christoph, Özkan, Hasan Yagiz, Serna, Cristian Bermudez, Mas-Machuca, Carmen
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Networking and Internet Architecture
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Predicting Software Reliability in Softwarized Networks
par: Ozkan, Hasan Yagiz, et autres
Publié: (2024)

Fast-MCS: A Scalable Open-Source Tool to Find Minimal Cut Sets
par: Janardhanan, Shakthivelu, et autres
Publié: (2026)

How to build a sovereign network? -- A proposal to measure network sovereignty
par: Janardhanan, Shakthivelu, et autres
Publié: (2025)

Network Sovereignty: A Novel Metric and its Application on Network Design
par: Janardhanan, Shakthivelu, et autres
Publié: (2024)

Mist-Assisted Federated Learning for Intrusion Detection in Heterogeneous IoT Networks
par: Izadi, Saadat, et autres
Publié: (2025)

Lightweight Cluster-Based Federated Learning for Intrusion Detection in Heterogeneous IoT Networks
par: Izadi, Saadat, et autres
Publié: (2026)

Adaptive Meta-Aggregation Federated Learning for Intrusion Detection in Heterogeneous Internet of Things
par: Izadi, Saadat, et autres
Publié: (2026)

Evaluating Machine Learning-Driven Intrusion Detection Systems in IoT: Performance and Energy Consumption
par: Jamshidi, Saeid, et autres
Publié: (2025)

P4-NIDS: High-Performance Network Monitoring and Intrusion Detection in P4
par: Chen, Yaying, et autres
Publié: (2024)

Lightweight Intrusion Detection in IoT via SHAP-Guided Feature Pruning and Knowledge-Distilled Kronecker Networks
par: Benaddi, Hafsa, et autres
Publié: (2025)

Efficient Network Traffic Feature Sets for IoT Intrusion Detection
par: Silva, Miguel, et autres
Publié: (2024)

CF-HFC:Calibrated Federated based Hardware-aware Fuzzy Clustering for Intrusion Detection in Heterogeneous IoTs
par: Izadi, Saadat, et autres
Publié: (2026)

Efficient Intrusion Detection: Combining $χ^2$ Feature Selection with CNN-BiLSTM on the UNSW-NB15 Dataset
par: Jouhari, Mohammed, et autres
Publié: (2024)

XAI FL-IDS: A Federated Learning and SHAP-Based Explainable Framework for Distributed Intrusion Detection Systems
par: Gholamrezazadeh, Mohammad Hossein, et autres
Publié: (2026)

Resource-Aware Layered Intrusion Detection Allocation Model
par: Pădurean, Ioan, et autres
Publié: (2026)

Genos: General In-Network Unsupervised Intrusion Detection by Rule Extraction
par: Li, Ruoyu, et autres
Publié: (2024)

AI-Powered Conflict Management in Open RAN: Detection, Classification, and Mitigation
par: Wadud, Abdul, et autres
Publié: (2026)

Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection
par: Kostas, Kahraman, et autres
Publié: (2024)

A Comparative Study of Recent Advances in Internet of Intrusion Detection Things
par: Rezk, Marianna, et autres
Publié: (2026)

Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things
par: Jamshidi, Saeid, et autres
Publié: (2025)

LLM-based Continuous Intrusion Detection Framework for Next-Gen Networks
par: Adjewa, Frederic, et autres
Publié: (2024)

A Case for Network-wide Orchestration of Host-based Intrusion Detection and Response
par: Timmons, Mark, et autres
Publié: (2025)

Time Series Based Network Intrusion Detection using MTF-Aided Transformer
par: Joshi, Poorvi, et autres
Publié: (2025)

Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL
par: Diab, Ali, et autres
Publié: (2025)

Over-Threshold Multiparty Private Set Intersection for Collaborative Network Intrusion Detection
par: Arpaci, Onur Eren, et autres
Publié: (2025)

PreConfig: A Pretrained Model for Automating Network Configuration
par: Li, Fuliang, et autres
Publié: (2024)

Binary VPN Traffic Detection Using Wavelet Features and Machine Learning
par: Razooqi, Yasameen Sajid, et autres
Publié: (2025)

A Novel Open Set Energy-based Flow Classifier for Network Intrusion Detection
par: Souza, Manuela M. C., et autres
Publié: (2021)

Introducing Packet-Level Analysis in Programmable Data Planes to Advance Network Intrusion Detection
par: Doriguzzi-Corin, Roberto, et autres
Publié: (2023)

Sherlock: A Dataset for Process-aware Intrusion Detection Research on Power Grid Networks
par: Wagner, Eric, et autres
Publié: (2025)

Sequential Binary Classification for Intrusion Detection
par: Vasudevan, Shrihari, et autres
Publié: (2024)

Streamlined Pathway (SP) Approach: An Efficient Load Balancer to Enhance Quality of Service
par: Alawadi, Aymen Hasan
Publié: (2026)

Diffusion Model-based Contrastive Learning for Human Activity Recognition
par: Xiao, Chunjing, et autres
Publié: (2024)

Advancing Network Security: A Comprehensive Testbed and Dataset for Machine Learning-Based Intrusion Detection
par: Farasat, Talaya, et autres
Publié: (2024)

ConCap: Practical Network Traffic Generation for (ML- and) Flow-based Intrusion Detection Systems
par: Verkerken, Miel, et autres
Publié: (2025)

A Secured Intent-Based Networking (sIBN) with Data-Driven Time-Aware Intrusion Detection
par: Izuazu, Urslla Uchechi, et autres
Publié: (2025)

Ruling the Unruly: Designing Effective, Low-Noise Network Intrusion Detection Rules for Security Operations Centers
par: Teuwen, Koen T. W., et autres
Publié: (2025)

Attack Mitigation in Gateways of Pervasive Systems
par: Gelenbe, Erol, et autres
Publié: (2025)

Detection of Distributed Denial of Service Attacks Carried Out by Botnets in Software-Defined Networks
par: Tamayo, Jaime, et autres
Publié: (2024)

Cross-Domain Elephant Flow Detection: A Unified Machine Learning Approach with Application-Aware and Security Features
par: Usmani, Tabidah, et autres
Publié: (2025)