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X-AdvIDS: A framework for assessing and improving the adversarial robustness of Intrusion Detection Systems with explainability-guided mutation and analysis

UniFuzz: A Unified Fuzzing Framework for Smart Contract Vulnerability Detection with LLMs and Audit Reports

Multimodal Fusion of Behavior Graphs and API Sequences for Ransomware Detection

Multimodal Windows Malware Detection via Hybrid Analysis and Enriched Graphs: Effectiveness and Explainability

Multimodal Windows Malware Detection via Hybrid Analysis and Enriched Graphs: Effectiveness and Explainability

Smart Contract Vulnerability Detection using Prompt Engineering with Reasoning Models

The increasing number of smart contracts has gained significant attention to the urgency of robust and scalable vulnerability detection techniques to mitigate substantial financial…

PowerGNN: A source code structural and textual awareness approach for identifying malicious PowerShell scripts

Multimodal Fusion for Vulnerability Detection: Integrating Sequence and Graph-Based Analysis with LLM Augmentation

RAG-SmartVuln: Enhancing Smart Contract Vulnerability Detection via Retrieval-Augmented LLMs

ProDef-MDS: A Proactive Defense Mechanism Protecting Malware Detection Systems from Adversarial Attacks

Malware threatens cybersecurity by enabling data theft, unauthorized access, and extortion. Traditional malware detection systems (MDS) struggle with the increasing volume and complexity of…