Copertina

Temporal Analysis Framework for Intrusion Detection Systems: A Novel Taxonomy for Time-Aware Cybersecurity

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Parlanti, Tatiana S., Catania, Carlos A.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLMs for Domain Generation Algorithm Detection
di: La O, Reynier Leyva, et al.
Pubblicazione: (2024)

Taxonomy for Cybersecurity Threat Attributes and Countermeasures in Smart Manufacturing Systems
di: Rahman, Md Habibor, et al.
Pubblicazione: (2023)

A Hybrid Intrusion Detection System with a New Approach to Protect the Cybersecurity of Cloud Computing
di: Al-Husseini, Maryam Mahdi
Pubblicazione: (2025)

A Novel Framework To Assess Cybersecurity Capability Maturity
di: Liyanage, Lasini, et al.
Pubblicazione: (2025)

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection
di: Sun, Danyu, et al.
Pubblicazione: (2025)

Toward an Intrusion Detection System for a Virtualization Framework in Edge Computing
di: de Matos, Everton, et al.
Pubblicazione: (2025)

A Novel Byte-Level Flow-to-Image Encoding Method for Network Intrusion Detection Systems
di: Mu, Ziyu, et al.
Pubblicazione: (2026)

Attention Augmented GNN RNN-Attention Models for Advanced Cybersecurity Intrusion Detection
di: Biradar, Jayant, et al.
Pubblicazione: (2025)

Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
di: Alikhani, Mohammad, et al.
Pubblicazione: (2025)

Benchmarking Frameworks and Comparative Studies of Controller Area Network (CAN) Intrusion Detection Systems: A Review
di: Sharmin, Shaila, et al.
Pubblicazione: (2024)

A PUF-Based Security Framework for Fault and Intrusion Detection
di: Oun, Ahmed, et al.
Pubblicazione: (2026)

Deployment Challenges of Industrial Intrusion Detection Systems
di: Wolsing, Konrad, et al.
Pubblicazione: (2024)

ATHENA: An In-vehicle CAN Intrusion Detection Framework Based on Physical Characteristics of Vehicle Systems
di: Wang, Kai, et al.
Pubblicazione: (2025)

Toward a Quantum Information System Cybersecurity Taxonomy and Testbed: Exploiting a Unique Opportunity for Early Impact
di: Blakely, Benjamin, et al.
Pubblicazione: (2024)

AI-Driven Chatbot for Intrusion Detection in Edge Networks: Enhancing Cybersecurity with Ethical User Consent
di: Asif, Mugheez, et al.
Pubblicazione: (2024)

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

Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems
di: Luay, Majed, et al.
Pubblicazione: (2025)

ACORN-IDS: Adaptive Continual Novelty Detection for Intrusion Detection Systems
di: Fuhrman, Sean, et al.
Pubblicazione: (2026)

Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT
di: Panopoulos, Ioannis, et al.
Pubblicazione: (2025)

A Collaborative Intrusion Detection System Using Snort IDS Nodes
di: Davies, Tom, et al.
Pubblicazione: (2025)

Deep Learning Algorithms Used in Intrusion Detection Systems -- A Review
di: Kimanzi, Richard, et al.
Pubblicazione: (2024)

Cyber Risk Taxonomies: Statistical Analysis of Cybersecurity Risk Classifications
di: Malavasi, Matteo, et al.
Pubblicazione: (2024)

A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation
di: Panopoulos, Ioannis, et al.
Pubblicazione: (2026)

A Novel Quantum Augmented Framework to Improve Microgrid Cybersecurity
di: Jha, Nitin, et al.
Pubblicazione: (2026)

Logic-Driven Cybersecurity: A Novel Framework for System Log Anomaly Detection using Answer Set Programming
di: Li, Fang, et al.
Pubblicazione: (2025)

Intrusion Detection System Using Deep Learning for Network Security
di: Chatterjee, Soham, et al.
Pubblicazione: (2025)

Federated Intrusion Detection System Based on Unsupervised Machine Learning
di: Gourceyraud, Maxime, et al.
Pubblicazione: (2025)

QML-IDS: Quantum Machine Learning Intrusion Detection System
di: Abreu, Diego, et al.
Pubblicazione: (2024)

SoK: Harmonizing Attack Graphs and Intrusion Detection Systems
di: Agiollo, Andrea, et al.
Pubblicazione: (2026)

SoK: Reshaping Research on Network Intrusion Detection Systems
di: Apruzzese, Giovanni
Pubblicazione: (2026)

AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection
di: Zhang, Xinchen, et al.
Pubblicazione: (2024)

Hackphyr: A Local Fine-Tuned LLM Agent for Network Security Environments
di: Rigaki, Maria, et al.
Pubblicazione: (2024)

SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks
di: Chen, Jing, et al.
Pubblicazione: (2025)

HPAC-IDS: A Hierarchical Packet Attention Convolution for Intrusion Detection System
di: Grini, Anass, et al.
Pubblicazione: (2025)

A Temporal Convolutional Network-based Approach for Network Intrusion Detection
di: Nazre, Rukmini, et al.
Pubblicazione: (2024)

METANOIA: A Lifelong Intrusion Detection and Investigation System for Mitigating Concept Drift
di: Ying, Jie, et al.
Pubblicazione: (2024)

AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization
di: Alhusseini, Maryam Mahdi, et al.
Pubblicazione: (2026)

CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems
di: Marchiori, Francesco, et al.
Pubblicazione: (2024)

Multi-sensor Intrusion Detection System
di: Arinde, Victor, et al.
Pubblicazione: (2024)

Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis
di: Uddin, Md. Ashraf, et al.
Pubblicazione: (2024)