PerkinsFund/traceix-synthetic-classification-data

Traceix Synthetic Generated Data是一个用于网络安全机器学习研究的合成表格数据集，专注于静态Windows PE文件元数据和二分类工作流。该数据集包含合成的特征行，模拟从Windows可执行文件中提取的元数据模式，用于恶意软件/安全分类、异常检测、模型评估、基准测试、特征工程和教育安全ML工作流。数据集不包含可执行文件、恶意软件二进制文件或源代码，每个样本仅是一个合成的特征向量。Traceix Synthetic Generated Data is a synthetic tabular dataset for cybersecurity machine learning research, focused on static Windows PE-file metadata and binary classification workflows. The dataset contains synthetically generated feature rows designed to resemble metadata patterns commonly extracted from Windows executable files during static analysis. It is intended for experimentation with malware/safe classification, anomaly detection, model evaluation, benchmarking, feature engineering, and educational security ML workflows. This dataset does not contain executable files, malware binaries, shellcode, payloads, bytecode, source code, or operational malware logic. Each sample is a synthetic feature vector only.