Công bố khoa học

Phương pháp khuyến khích cộng tác đào tạo mô hình học máy bằng Blockchain và học liên kết

A Secure and Privacy Preserving Federated Learning Approach for IoT Intrusion Detection System

Federated learning-based intrusion detection in the context of IIoT networks: Poisoning Attack and defense

Strengthening IDS against Evasion Attacks with GAN-based Adversarial Samples in SDN-enabled network

With the spread of the number of smart devices in the context of Smart City, Software Defined Networking (SDN) is considered as a vital…

DIGFuPAS: Deceive IDS with GAN and Function-Preserving on Adversarial Samples in SDN-enabled networks

Showing a great potential in various domains, machine learning techniques are more and more used in the task of malicious network traffic detection to…

A Deep Transfer Learning Approach for Flow-based Intrusion Detection in SDN-enabled Network

Revolutionizing operation model of traditional network in programmability, scalability, and orchestration, Software-Defined Networking (SDN) has considered as a novel network management approach for a…

Empirical Study on Reconnaissance Attacks in SDN-aware Network for Evaluating Cyber Deception

PWDGAN: Generating Adversarial Malicious URL Examples for Deceiving Black-Box Phishing Website Detector using GANs

In recent years, the Internet has witnessed a significant increase in phishing attacks. These attacks are not merely deceiving Internet users to get their…

Statistic Android applications on Google Play for security analysis purpose