Comprehensive Performance Evaluation Of Network Intrusion System Using Machine Learning Approach gan Shahzad Haroon, Syed Sajjad Hussain

Pynciau: “...Network Intrusion Detection System...”
Cael y testun llawn

Hybrid Feature Selection Approach to Improve the Deep Neural Network on New Flow-Based Dataset for NIDS gan Rawaa Ismael Farhan, Abeer Tariq Maolood, NidaaFlaih Hassan

Pynciau: “...Network Intrusion Detection System...”
Cael y testun llawn

A Cloud Based Network Intrusion Detection System gan Li You, Zhanyong Wang

Pynciau: Cael y testun llawn

Implementasi Metrik Keluaran Unjuk Kerja Network Intrusion Detection System gan Yudhi Ardiyanto

Pynciau: “...network intrusion detection system, network security, snort...”
Cael y testun llawn

Heterogeneous Ensemble Feature Selection for Network Intrusion Detection System gan Yeshalem Gezahegn Damtew, Hongmei Chen, Zhong Yuan

Pynciau: Cael y testun llawn

Realguard: A Lightweight Network Intrusion Detection System for IoT Gateways gan Xuan-Ha Nguyen, Xuan-Duong Nguyen, Hoang-Hai Huynh, Kim-Hung Le

Pynciau: “...network intrusion detection system...”
Cael y testun llawn

Lightweight Federated Learning for Efficient Network Intrusion Detection gan Abdelhak Bouayad, Hamza Alami, Meryem Janati Idrissi, Ismail Berrada

Pynciau: “...Network intrusion detection system...”
Cael y testun llawn

Feature extraction for machine learning-based intrusion detection in IoT networks gan Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann

Pynciau: Cael y testun llawn

Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers gan Alon Kukliansky, Marko Orescanin, Chad Bollmann, Theodore Huffmire

Pynciau: Cael y testun llawn

Design of Intrusion Detection System based on Cyborg intelligence for security of Cloud Network Traffic of Smart Cities gan Edeh Michael Onyema, Surjeet Dalal, Carlos Andrés Tavera Romero, Bijeta Seth, Praise Young, Mohd Anas Wajid

Pynciau: Cael y testun llawn

Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic gan Andrey Ferriyan, Achmad Husni Thamrin, Keiji Takeda, Jun Murai

Pynciau: “...network intrusion detection system...”
Cael y testun llawn

A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems gan Won Woo Ro, Kyueun Yi, Doohwan Oh, Myung Kuk Yoon, Ilkyu Kim

Pynciau: “...network intrusion detection system...”
Cael y testun llawn

Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network gan Zhipeng Liu, Junyi Hu, Yang Liu, Kaushik Roy, Xiaohong Yuan, Jinsheng Xu

Pynciau: Cael y testun llawn

Examining the Suitability of NetFlow Features in Detecting IoT Network Intrusions gan Mohammed Awad, Salam Fraihat, Khouloud Salameh, Aneesa Al Redhaei

Pynciau: Cael y testun llawn

A One-Dimensional Convolutional Neural Network (1D-CNN) Based Deep Learning System for Network Intrusion Detection gan Emad Ul Haq Qazi, Abdulrazaq Almorjan, Tanveer Zia

Pynciau: “...network intrusion detection system (NIDS)...”
Cael y testun llawn

Anomaly network intrusion detection system based on NetFlow using machine/deep learning gan Touati B. Adli, Salem-Bilal B. Amokrane, Boban Z. Pavlović, Mohammad Zouaoui M. Laidouni, Taki-eddine Ahmed A. Benyahia

Pynciau: “...network intrusion detection system (nids)...”
Cael y testun llawn

Enhancing Network Traffic Anomaly Detection: Leveraging Temporal Correlation Index in a Hybrid Framework gan A. H. Nasreen Fathima, S. P. Syed Ibrahim, Ansam Khraisat

Pynciau: Cael y testun llawn

Design of Network Intrusion Detection System Using Lion Optimization-Based Feature Selection with Deep Learning Model gan Rayed AlGhamdi

Pynciau: “...network intrusion detection system...”
Cael y testun llawn

Proposed Hybrid Classifier to Improve Network Intrusion Detection System using Data Mining Techniques gan Sarah Shareef, Soukaena Hashim

Pynciau: Cael y testun llawn

Preprocessing Impact Analysis for Machine Learning-Based Network Intrusion Detection gan Hüseyin Güney

Pynciau: Cael y testun llawn