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Testing and validating activity models for network intrusion detection

Referentgranskad
Määttä, Marko; Räty, Tomi
International Conference on Computer & Information Science ICCIS 20122012Publicationer information ikon

Network Intrusion Detection Using Flow Statistics

Referentgranskad
DOI
10.1109/SSP.2018.8450709
Atli, Buse Gul; Miche, Yoan; Jung, Alexander
IEEE statistical signal processing workshop2018Publicationer information ikon

Priorities in the deployment of network intrusion detection systems

Referentgranskad
Dobrucki, Marcin; Virtanen, Teemupekka
-2003Publicationer information ikon

A system to combine intrusion detection and a vulnerability scanner

Referentgranskad
Juslin, Jukka; Virtanen, Teemupekka
IEEE2003Publicationer information ikon

Anomaly-based network intrusion detection using wavelets and adversarial autoencoders

Referentgranskad
Öppen tillgång
DOI
10.1007/978-3-030-12942-2_18
Puuska, Samir; Kokkonen, Tero; Alatalo, Janne; Heilimo, Eppu
Lecture notes in computer science2019Publicationer information ikon

Automatic creation of models for network intrusion detection

Referentgranskad
DOI
10.1109/ComComAp.2012.6154805
Määttä, Marko; Räty, Tomi
Computing, Communications and Applications Conference, ComComAp 20122012Publicationer information ikon

An Evaluation of Transformer Models for Early Intrusion Detection in Cloud Continuum

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Öppen tillgång
DOI
10.1109/CloudCom59040.2023.00052
Md Mahbub Islam; Tanwir Ahmad; Dragos Truscan
Proceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom...2023Publicationer information ikon

Intrusion Detection and Mitigation Framework for SDN Controlled IoTs Network

Referentgranskad
DOI
10.1109/HONET53078.2021.9615458
Zaheer, Amer; Asghar, Muhammad Zeeshan; Qayyum, Amir
IEEE International Conference on Smart Communities2021Publicationer information ikon

Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security

Referentgranskad
Öppen tillgång
DOI
10.1109/ACCESS.2025.3542227
Hakami, Hanadi; Faheem, Muhammad; Bashir Ahmad, Majid
IEEE Access2025Publicationer information ikon

A Novel Anomaly-Based Intrusion Detection Model Using PSOGWO-Optimized BP Neural Network and GA-Based Feature Selection

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Öppen tillgång
DOI
10.3390/s22239318
Sheikhi, Saeid; Kostakos, Panos
Sensors2022

Testing and validating activity models for network intrusion detection

Referentgranskad
2012

Network Intrusion Detection Using Flow Statistics

Referentgranskad
DOI
10.1109/SSP.2018.8450709
2018

Priorities in the deployment of network intrusion detection systems

Referentgranskad
2003

A system to combine intrusion detection and a vulnerability scanner

Referentgranskad
2003

Anomaly-based network intrusion detection using wavelets and adversarial autoencoders

Referentgranskad
Öppen tillgång
DOI
10.1007/978-3-030-12942-2_18
2019

Automatic creation of models for network intrusion detection

Referentgranskad
DOI
10.1109/ComComAp.2012.6154805
2012

An Evaluation of Transformer Models for Early Intrusion Detection in Cloud Continuum

Referentgranskad
Öppen tillgång
DOI
10.1109/CloudCom59040.2023.00052
2023

Intrusion Detection and Mitigation Framework for SDN Controlled IoTs Network

Referentgranskad
DOI
10.1109/HONET53078.2021.9615458
2021

Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security

Referentgranskad
Öppen tillgång
DOI
10.1109/ACCESS.2025.3542227
2025

A Novel Anomaly-Based Intrusion Detection Model Using PSOGWO-Optimized BP Neural Network and GA-Based Feature Selection

Referentgranskad
Öppen tillgång
DOI
10.3390/s22239318
2022