wpt-dataset

Citation Author(s):
Qiang
Zhang
Yijia
Xu
Submitted by:
Qiang Zhang
Last updated:
Mon, 04/29/2024 - 08:19
DOI:
10.21227/nq8d-2f33
Data Format:
ZIP (binary files)
License:
Creative Commons Attribution
59 Views
Categories:
Artificial Intelligence
Security
Keywords:
Web security; Pre-training; Dynamic graph; Temporal data; Anomaly detection
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Abstract 

The WPT dataset was specially created for "Web Page Tampering Detection Based on Dynamic Temporal Graph Pre-training" and encompasses over 200,000 regular web pages from 75 websites across the finance, healthcare, and education sectors, in addition to 1,541 tampered examples sourced from zone-h.org. This dataset organizes web pages as nodes and their links as edges within a discrete dynamic graph structure, capturing snapshots at various moments in time. Each node integrates structural, textual, and statistical features into a robust 148-dimensional feature vector for every page. Data storage is facilitated through DGL's save_graphs() interface, ensuring a structured and readily accessible graph data format. This dataset serves as a critical asset for pioneering research into web page integrity and security analysis, offering essential support for the development and benchmarking of tamper detection algorithms.

Instructions: 

We use the save_graphs() data storage interface provided by DGL to save the list of snapshots for each website to disk. The following code example demonstrates how to read a temporal graph of a website from disk.

from dgl import load_graphs

graph_path = 'data/host-1.bin'
graphs = load_graphs(graph_path)
Funding Agency: 
National Natural Science Foundation of China
Grant Number: 
U20B2045

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