Công bố khoa học

A Lightweight Method for Intrusion Detection Systems Leveraging Feature Selection and Knowledge Distillation

The application of machine learning and deep learning to intrusion detection systems (IDSs) enhances their ability to detect and respond to sophisticated cyber threats…

FedKD-IDS: A robust intrusion detection system using knowledge distillation-based semi-supervised federated learning and anti-poisoning attack mechanism

A Study on Adversarial Attacks for Benchmarking Deep Learning-based Web Application Firewalls

Investigating the robustness against transferable adversarial attacks of learning-based network intrusion detection system

BinShoo: Binary Code Similarity Detection using Optimized Function Embedding and Siamese Neural Network

An Attention-based Intrusion Detection System with Incremental Online Learning Approach for Unmasking Evolving Cyber Threats

Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection

The rise of security concerns in conventional centralized learning has driven the adoption of federated learning. However, the risks posed by poisoning attacks from…

MAVERICS: Multimodal Advanced Visual Event Retrieval with Integrated CPU-Optimized Search

ArtemisSearch: A Multimodal Search Engine for Efficient Video Log-Life Event Retrieval Using Time-Segmented Queries and Vision Transformer-based Feature Extraction