A Malicious Network Traffic Detection Model Based on Bidirectional Temporal Convolutional Network with Multi-Head Self-Attention Mechanism

A novel detection model for abnormal network traffic based on bidirectional temporal convolutional network

(2023) Jinfu Chen et al.   INFORMATION AND SOFTWARE TECHNOLOGY

A new deep boosted CNN and ensemble learning based IoT malware detection

(2023) Saddam Hussain Khan et al.   COMPUTERS & SECURITY

Dependable federated learning for IoT intrusion detection against poisoning attacks

(2023) Run Yang et al.   COMPUTERS & SECURITY

Gradient importance enhancement based feature fusion intrusion detection technique

(2022) Juan-juan Fu et al.   Computer Networks

Comparative research on network intrusion detection methods based on machine learning

(2022) Chunying Zhang et al.   COMPUTERS & SECURITY

MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection

(2022) Jinghong Lan et al.   COMPUTERS & SECURITY

EEFED: Personalized Federated Learning of Execution&Evaluation Dual Network for CPS Intrusion Detection

(2022) Xianting Huang et al.   IEEE Transactions on Information Forensics and Security

Nearest cluster-based intrusion detection through convolutional neural networks

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

Network anomaly detection in a controlled environment based on an enhanced PSOGSARFC

(2021) Edward Kwadwo Boahen et al.   COMPUTERS & SECURITY

Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study

(2021) Zihao Wang et al.   COMPUTERS & SECURITY

An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset

(2020) Hongpo Zhang et al.   Computer Networks

Adoption and realization of deep learning in network traffic anomaly detection device design

(2020) Guanglu Wei et al.   SOFT COMPUTING

An effective intrusion detection approach using SVM with naïve Bayes feature embedding

(2020) Jie Gu et al.   COMPUTERS & SECURITY

A hybrid deep learning model for efficient intrusion detection in big data environment

(2019) Mohammad Mehedi Hassan et al.   INFORMATION SCIENCES

Accelerating Decision Tree Based Traffic Classification on FPGA and Multicore Platforms

(2017) Da Tong et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Efficient Software Packet Processing on Heterogeneous and Asymmetric Hardware Architectures

(2017) Eva Papadogiannaki et al.   IEEE-ACM TRANSACTIONS ON NETWORKING

Analyzing Android Encrypted Network Traffic to Identify User Actions

(2016) Mauro Conti et al.   IEEE Transactions on Information Forensics and Security

Algorithms to speedup pattern matching for network intrusion detection systems

(2015) Kai Zheng et al.   COMPUTER COMMUNICATIONS

Data preprocessing for anomaly based network intrusion detection: A review

(2011) Jonathan J. Davis et al.   COMPUTERS & SECURITY

Efficient hardware support for pattern matching in network intrusion detection

(2010) Nitesh B. Guinde et al.   COMPUTERS & SECURITY