Malicious and Benign Webpages Dataset-Reference-Cited by-同舟云学术

Malicious and Benign Webpages Dataset

Published:2020-10 Issue: Volume:32 Page:106304
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Singh A.K.

Funder

BITS Pilani

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference12 articles.

1. "Malcrawler: a crawler for seeking and crawling malicious websites;Singh,2017

2. Google Safe Browsing API. [Online] Available at:https://developers.google.com/safe-browsing.

3. Dataset, Visualization code and output, and pre-processing code are hosted on mendeley data. [Online] Available at:http://dx.doi.org/10.17632/gdx3pkwp47.2.

4. Code for Visualization of Dataset hosted on Kaggle. [Online] Available at:https://www.kaggle.com/aksingh2411/visualisation-of-webpages-dataset.

5. A comparison of machine learning attributes for detecting malicious websites;Singh,2019

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Defining Metrics for Comparing Threat Intelligence Solutions Through the Lens of the Analyst;2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON);2023-10-12

2. Anomaly Web Page Detection Using HDBSCAN and Deep SVDD;2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2023-07-17

3. Dynamic feature selection model for adaptive cross site scripting attack detection using developed multi-agent deep Q learning model;Journal of King Saud University - Computer and Information Sciences;2023-06

4. Phishing URLs Detection Using Sequential and Parallel ML Techniques: Comparative Analysis;Sensors;2023-03-26

5. Explainable Machine Learning for Bag of Words-Based Phishing Detection;Communications in Computer and Information Science;2023