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Active Digital Twin Verification for Robust Federated Learning in IoT Intrusion Detection

MAF-LLM: A Multi-Agent Framework Based on Large Language Models for Automated Ransomware Memory Forensics

MAF-LLM: A Multi-Agent Framework Based on Large Language Models for Automated Ransomware Memory Forensics

P4P: A Probe-Guided Anti-Poisoning Defense for Federated Learning-based Intrusion Detection in IoT Networks under Non-IID Data

Federated learning (FL) enables collaborative Intrusion Detection Systems (IDS) across distributed Internet of Things (IoT) networks without sharing raw data. However, its openness exposes…

AutoWAFuzzer: An Adaptive Framework for Web Application Firewall Penetration Testing with Multi-agent System and RAG-enabled Reinforcement Learning

Web Application Firewalls (WAFs) are crucial in mitigating web-based threats such as SQLi and XSS, yet the evolving complexity of WAF detection mechanisms poses…

Checklist-Guided Reinforcement Learning for Adaptive SQL Injection Detection with Dynamic WAF Evasion

ADCC-Bench: A Benchmark Framework for Anomaly Detection in Cryptocurrency Transactions

A Method for Secure Verification and Classification of Educational Credentials based on Zero-Knowledge Range Proof

A Multimodal Approach for Windows Malware Detection using Comprehensive Analysis on Called APIs

With the continuous evolution of the Windows operating system, malware-especially those based on Portable Executable (PE) files-has become increasingly sophisticated. Recent studies have widely…

PhishFusion: A Multimodal Phishing Website Detection Framework using Joint URL and JavaScript Features