FS-IDS: A framework for intrusion detection based on few-shot learning

Nearest cluster-based intrusion detection through convolutional neural networks

(2021) Giuseppina Andresini et al.   KNOWLEDGE-BASED SYSTEMS

Hybrid approach to intrusion detection in fog-based IoT environments

(2020) Cristiano Antonio de Souza et al.   Computer Networks

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection

(2020) MohammadNoor Injadat et al.   IEEE Transactions on Network and Service Management

Security for cyberspace: challenges and opportunities

(2019) Jiang-xing Wu et al.   Frontiers of Information Technology & Electronic Engineering

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

(2019) Cosimo Ieracitano et al.   NEUROCOMPUTING

HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection

(2018) Wei Wang et al.   IEEE Access

A deep learning method to detect network intrusion through flow-based features

(2018) Abdurrahman Pektaş et al.   International Journal of Network Management

Intrusion detection system: A comprehensive review

(2012) Hung-Jen Liao et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS