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Toward Adaptive Web Application Honeypots: Fine-Tuned Large Language Models for Realistic Response Emulation

With the rise of complex attacks, traditional web honeypots struggle to maintain authenticity due to static and easily fingerprinted responses. This paper presents a…

DMLDroid: Deep Multimodal Fusion Framework for Android Malware Detection with Resilience to Code Obfuscation and Adversarial Perturbations

In recent years, Android malware detection has advanced rapidly with the adoption of learning-based techniques, which typically analyze app code as text, images, or…

Evaluating the robustness and transferable adversarial example resistance of multimodal learning-based intrusion detection systems against evasion attacks

Intrusion Detection Systems (IDS) play a crucial role in safeguarding computer networks against malicious activities. However, current IDS models based on machine learning (ML)…

RAG-VM: A Retrieval-Augmented Generation Framework for Vulnerability Management

On the Robustness of Language Model-based Ransomware Detectors for API Sequence Analysis under Semantic-Preserving Mutations

Navigating and orchestrating Web 3.0 innovation challenges: A theory of cross-chain ecosystem strategy

Web 3.0 technologies present fundamental challenges to established theories of platform strategy and organizational design, yet the organizational forms enabling decentralized innovation remain theoretically…

Verifiable AI Reviewers: Decentralized Skill Matching and Soulbound Reputation for Multi-Agent Peer Review

PRECISE: Precision-Driven Discovery of Token-centric MEV

Explainable Malware Detection from Noisy API Sequences with RAG-Based MITRE ATT&CK Mapping