AI-powered intrusion detection in large-scale traffic networks based on flow sensing strategy and parallel deep analysis

GöwFed

(2023) Aitor Belenguer et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Enhanced detection of imbalanced malicious network traffic with regularized Generative Adversarial Networks

(2022) Radhika Chapaneri et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

An Optimized Gradient Boost Decision Tree Using Enhanced African Buffalo Optimization Method for Cyber Security Intrusion Detection

(2022) Shailendra Mishra   Applied Sciences-Basel

Review on the application of deep learning in network attack detection

(2022) Tao Yi et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detection

(2022) Murad Ali Khan et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review

(2021) Sang-Woong Lee et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Smart Grid Vulnerability and Defense Analysis Under Cascading Failure Attacks

(2021) Tu N. Nguyen et al.   IEEE TRANSACTIONS ON POWER DELIVERY

RANet: Network intrusion detection with group-gating convolutional neural network

(2021) Xiaoqing Zhang et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

An efficient XGBoost–DNN-based classification model for network intrusion detection system

(2020) Preethi Devan et al.   NEURAL COMPUTING & APPLICATIONS

Data Sampling Methods to Deal With the Big Data Multi-Class Imbalance Problem

(2020) Eréndira Rendón et al.   Applied Sciences-Basel

A semi-self-taught network intrusion detection system

(2020) Feng Zhao et al.   NEURAL COMPUTING & APPLICATIONS

Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization

(2020) Gowtham Muniraju et al.   IEEE Transactions on Neural Networks and Learning Systems

Timeslot Switching-Based Optical Bypass in Data Center for Intrarack Elephant Flow With an Ultrafast DPDK-Enabled Timeslot Allocator

(2019) Bingli Guo et al.   JOURNAL OF LIGHTWAVE TECHNOLOGY

Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing

(2018) Abebe Abeshu et al.   IEEE COMMUNICATIONS MAGAZINE

A Detailed Investigation and Analysis of using Machine Learning Techniques for Intrusion Detection

(2018) Preeti Mishra et al.   IEEE Communications Surveys and Tutorials

Toward Credible Evaluation of Anomaly-Based Intrusion-Detection Methods

(2010) Mahbod Tavallaee et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Exploratory Undersampling for Class-Imbalance Learning

(2008) Xu-Ying Liu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS