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A Study on Efficient Provenance-Based Intrusion Detection System using Few-shot Graph Representation Learning

A Study On Explainable Graph Presentation Learning With Semantic Features Embedding For Windows Malware Detection

SeFed-IDS: A Collaborative Intrusion Detection System Utilizing Semi-Supervised Federated Learning and Data Augmentation

Fed-Evolver: An Automated Evolving Approach for Federated Intrusion Detection System using Adversarial Autoencoder in SDN-enabled Networks

FI-IDS: A Federated Incremental Learning Approach for Intrusion Detection System

A Robust and Trustworthy Intrusion Detection System Using Adversarial Machine Learning and XAI

ADV-Sword: A Framework of Explainable AI-Guided Adversarial Samples Generation for Benchmarking ML-Based Intrusion Detection Systems

A Trustworthy and Robust Model for Mutated Malware Detection via Explainable AI and GANs

Raiju: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems

To discover threats to a network system, investigating the behaviors of attackers after successful exploitation is an important phase, called post-exploitation. Although various efficient…