VISUALIZING PORTABLE EXECUTABLE HEADERS FOR RANSOMWARE DETECTION: A DEEP LEARNING-BASED APPROACH

In recent years, the rapid evolution of ransomware has led to the development of numerous techniques designed to evade traditional malware detection methods.To address this issue, a novel approach is proposed in this study, leveraging machine learning to encode critical information from Portable Executable (PE) headers into visual representations o

By deploying a magnetic monitoring network in the earthquake-prone areas of Sichuan, China, and conducting long-term observations, processing, and analysis of real-time geomagnetic data, it can be observed that the pre-earthquake geomagnetic anomalies are highly correlated with the occurrence time of earthquakes.We propose a novel algorithm that ob