EdgePhish-5G Dataset: Phishing URL Detection with 5G Slice Annotation

This dataset contains 340,000 URLs for phishing detection research and 5G-inspired traffic slice annotation. Data sources include PhishTank, OpenPhish, a Kaggle phishing dataset, Alexa Top Sites, and Common Crawl. The dataset is balanced between phishing and legitimate URLs: - Phishing URLs: 170,000- Legitimate URLs: 170,000 Files included in this record:1. balanced_urls.csv —the main dataset of 340,000 labeled URLs 2. urls_annotated.csv — the annotated version including 5G-inspired slice labels and score columns3. urls_dataset.csv — a balanced subset provided for controlled experiments and comparative evaluation Each URL is labeled as phishing or legitimate and may additionally be annotated using rule-based heuristics into one of three 5G-inspired traffic slices:- eMBB- mMTC- URLLC These slice labels are heuristic proxies based on structural and semantic URL characteristics, and do not represent ground-truth operator-assigned 5G network slices. The annotated dataset includes the following columns:- url- label- slice- URLLC_score- mMTC_score This dataset is intended for research in phishing URL detection, cybersecurity, machine learning, edge intelligence, and 5G network security.本数据集包含34万个适用于网络钓鱼检测研究及5G启发式流量切片标注的统一资源定位符（Uniform Resource Locator，URL）。 其数据来源包括PhishTank、OpenPhish、Kaggle网络钓鱼数据集、Alexa热门网站榜单以及Common Crawl。该数据集在网络钓鱼URL与合法URL之间保持均衡： - 网络钓鱼URL：170,000条 - 合法URL：170,000条 本数据集包含以下文件： 1. `balanced_urls.csv`：包含34万个带标注URL的主数据集 2. `urls_annotated.csv`：带完整标注的版本，包含5G启发式流量切片标签及评分列 3. `urls_dataset.csv`：用于受控实验与对比评估的均衡子集数据集 每个URL均被标注为网络钓鱼或合法URL，还可通过基于规则的启发式方法进一步归类为以下三类5G启发式流量切片之一： - 增强型移动宽带（enhanced Mobile Broadband，eMBB） - 海量机器类通信（massive Machine Type Communications，mMTC） - 超高可靠低时延通信（Ultra-Reliable Low-Latency Communications，URLLC） 上述切片标签为基于URL结构与语义特征的启发式代理指标，并非运营商实际分配的真实5G网络切片。 带标注的数据集包含如下字段： - `url`：统一资源定位符 - `label`：样本标注标签 - `slice`：5G启发式流量切片标签 - `URLLC_score`：URLLC评分 - `mMTC_score`：mMTC评分 本数据集可用于网络钓鱼URL检测、网络安全、机器学习、边缘智能及5G网络安全领域的相关研究。