Image de couverture de livre

Evaluating MCC for Low-Frequency Cyberattack Detection in Imbalanced Intrusion Detection Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Thiyagarajan, Prameshwar, Williams, Chad A.
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing SCADA Security: Developing a Host-Based Intrusion Detection System to Safeguard Against Cyberattacks
par: Sen, Omer, et autres
Publié: (2024)

Cyberattack Detection in Critical Infrastructure and Supply Chains
par: Khapre, Smita
Publié: (2025)

GPU-Accelerated Interpretable Generalization for Rapid Cyberattack Detection and Forensics
par: Huang, Shu-Ting, et autres
Publié: (2025)

On Process Awareness in Detecting Multi-stage Cyberattacks in Smart Grids
par: Sen, Omer, et autres
Publié: (2024)

Real-time Cyberattack Detection with Collaborative Learning for Blockchain Networks
par: Khoa, Tran Viet, et autres
Publié: (2024)

Unmasking Covert Intrusions: Detection of Fault-Masking Cyberattacks on Differential Protection Systems
par: Saber, Ahmad Mohammad, et autres
Publié: (2024)

TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning
par: Gómez, Ángel Luis Perales, et autres
Publié: (2023)

Vision-Based Learning for Cyberattack Detection in Blockchain Smart Contracts and Transactions
par: Son, Do Hai, et autres
Publié: (2025)

Differential Privacy for Regulatory Compliance in Cyberattack Detection on Critical Infrastructure Systems
par: Ramanan, Paritosh, et autres
Publié: (2025)

Federated Detection of Open Charge Point Protocol 1.6 Cyberattacks
par: Dalamagkas, Christos, et autres
Publié: (2025)

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

Collaborative Learning for Cyberattack Detection in Blockchain Networks
par: Khoa, Tran Viet, et autres
Publié: (2022)

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection
par: Huang, Yi, et autres
Publié: (2025)

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
par: Digregorio, Gabriele, et autres
Publié: (2025)

Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
par: Gupta, Ragini, et autres
Publié: (2025)

On the Challenges of Holistic Intrusion Detection in ICS
par: Lenz, Stefan, et autres
Publié: (2026)

A Novel Trust-Based DDoS Cyberattack Detection Model for Smart Business Environments
par: Okporokpo, Oghenetejiri, et autres
Publié: (2025)

Privacy-Preserving Cyberattack Detection in Blockchain-Based IoT Systems Using AI and Homomorphic Encryption
par: Manh, Bui Duc, et autres
Publié: (2024)

CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
par: Li, Elvin, et autres
Publié: (2025)

ACORN-IDS: Adaptive Continual Novelty Detection for Intrusion Detection Systems
par: Fuhrman, Sean, et autres
Publié: (2026)

Deployment Challenges of Industrial Intrusion Detection Systems
par: Wolsing, Konrad, et autres
Publié: (2024)

Evaluating Tabular Representation Learning for Network Intrusion Detection
par: Butt, Muhammad Usman, et autres
Publié: (2026)

Vehicular Intrusion Detection System for Controller Area Network: A Comprehensive Survey and Evaluation
par: Liu, Yangyang, et autres
Publié: (2025)

Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
par: Kumar, Ayush, et autres
Publié: (2024)

Design and Detection of Covert Man-in-the-Middle Cyberattacks on Water Treatment Plants
par: Mattos, Victor, et autres
Publié: (2025)

Federated Anomaly Detection and Mitigation for EV Charging Forecasting Under Cyberattacks
par: Babayomi, Oluleke, et autres
Publié: (2025)

Understanding AI Methods for Intrusion Detection and Cryptographic Leakage
par: Zilouchian, Reza, et autres
Publié: (2026)

Quantization-aware Neural Architectural Search for Intrusion Detection
par: Acharya, Rabin Yu, et autres
Publié: (2023)

Yet Another Diminishing Spark: Low-level Cyberattacks in the Israel-Gaza Conflict
par: Vu, Anh V., et autres
Publié: (2025)

Shift Detection and Adaptation for Network Intrusion Detection
par: Mousavipour, Ehssan, et autres
Publié: (2025)

PIDSMaker: Building and Evaluating Provenance-based Intrusion Detection Systems
par: Bilot, Tristan, et autres
Publié: (2026)

EdgeDetect: Importance-Aware Gradient Compression with Homomorphic Aggregation for Federated Intrusion Detection
par: Mohammad, Noor Islam S.
Publié: (2026)

Optimizing Intrusion Detection System Performance Through Synergistic Hyperparameter Tuning and Advanced Data Processing
par: Saidane, Samia, et autres
Publié: (2024)

Anomaly-based Framework for Detecting Power Overloading Cyberattacks in Smart Grid AMI
par: Korba, Abdelaziz Amara, et autres
Publié: (2024)

Intrusion Detection System Using Deep Learning for Network Security
par: Chatterjee, Soham, et autres
Publié: (2025)

Federated Intrusion Detection System Based on Unsupervised Machine Learning
par: Gourceyraud, Maxime, et autres
Publié: (2025)

A PUF-Based Security Framework for Fault and Intrusion Detection
par: Oun, Ahmed, et autres
Publié: (2026)

Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey
par: Gueriani, Afrah, et autres
Publié: (2024)

QML-IDS: Quantum Machine Learning Intrusion Detection System
par: Abreu, Diego, et autres
Publié: (2024)

Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
par: Hossain, Md Zakir, et autres
Publié: (2026)