地球资源数据云——数据资源详情

恶意软件分类 (CLaMP)

发布时间：2026-03-17 14:32:44资源ID：2031253150433185794资源类型：免费

该数据集《Classification of Malwares (CLaMP)》主要用于多分类任务，数据形态以图像为主，应用场景偏向天文科学。 题目说明：Classification of Malware with PE headers 任务类型：图像多分类。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：ClaMP_Integrated - 5184.csv, ClaMP_Raw - 5184.csv。 Context A Malware classifier dataset built with header fields’ values of Portable Executable files Content What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. ClaMP_Integrated - 5184.csv Total samples : 5184 (Malware () + Benign()) Features (69) : Raw Features (54) + Derived Features(15)

恶意软件分类 (CLaMP)

摘要概览

该数据集《Classification of Malwares (CLaMP)》主要用于多分类任务，数据形态以图像为主，应用场景偏向天文科学。 题目说明：Classification of Malware with PE headers

任务类型：图像多分类。

建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。

评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。

可用文件：ClaMP_Integrated - 5184.csv, ClaMP_Raw - 5184.csv。

Context

A Malware classifier dataset built with header fields’ values of Portable Executable files

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

ClaMP_Integrated - 5184.csv Total samples : 5184 (Malware () + Benign()) Features (69) : Raw Features (54) + Derived Features(15)