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Android malware detection by using graph optimization of static features based on pre-trained language models

The Android platform is the dominant mobile operating system, making it a prime target for malware attacks. The increasing complexity of Android malware necessitates…

Hawkeyes: An Intelligent Honeypot Allocation Strategy for Cyber Deception using Reinforcement Learning

Honeypot allocation has emerged as a pivotal strategy in cyber deception. However, existing approaches often face scalability issues, limited coordination, and inadequate consideration of…

Acheron: A Market-Based Multi-Relay Architecture for Adaptive and Secure Cross-Chain Communication

The growing fragmentation of the blockchain ecosystem has intensified the demand for secure and scalable interoperability protocols. Existing cross-chain solutions face an ‘interoperability trilemma’,…

FedVuln: Scalable and Privacy-Preserving Federated Graph Learning for Smart Contract Vulnerability Detection on Parallel Systems

Smart contracts secure over $287 billion in total value locked, yet vulnerabilities caused $3.8 billion in losses during 2023. Traditional detection approaches require complete…

GSQLi: A GAN-based Approach for Adversarial SQL Injection Sample Generation against WAF

Web application firewalls (WAFs) are critical for detecting and blocking malicious activities, offering essential protection for web applications. However, to defend against the complexity…

Leveraging LLM Agents for Autonomous Web Penetration Testing Targeting SQL Injection Vulnerability

Leveraging LLM Agents for Autonomous Web Penetration Testing Targeting SQL Injection Vulnerability

An Optimization-Driven Fusion Framework of Vision–Language Foundation Models for Large-Scale Video Retrieval

HelioSearch: A Multimodal Video Retrieval Framework with LLM-Driven Query Expansion and Hybrid Filtering

HelioSearch: A Multimodal Video Retrieval Framework with LLM-Driven Query Expansion and Hybrid Filtering

Investigating Deep Learning-based Binary Code Similarity Detection Using Graph Representation For Cross-dataset Analysis Context

Investigating Deep Learning-based Binary Code Similarity Detection Using Graph Representation For Cross-dataset Analysis Context