jeffery-liu / url-detector

Web Application (2019)

URL-Detector

Machine Learning Project

Prerequisites:

Python 3.7.3 Tensorflow 1.14.0

Introduction:

The project is still in progress.

The purpose of this project is to identify whether the URL is malicious.

Algorithm: Logistic Regression. We found the data set, which is used to train the model on the Internet. A total of 420,464 requests were sorted out as URLs data sets, including both legitimate and malicious requests.

We created a user-friendly webpage to provide the serving.

Instruction:

Server:

Located the file (MaliciousURLs.py) path in "Command Prompt". Then type 'python MaliciousURLs.py' and press enter. Open a browser and type the link shown on the Command Prompt.

Client:

Type in an URL and then hit "submit," then you will get the result with the probability:

1. Thumb up: it is a legitimate URL.
2. Question mark: unsure.
3. Thumb down: it is a malicious URL.

Contributors:

• Jinfeng (Jeffery) Liu [email protected]
• Zhipeng (Lance) Men [email protected]
• Junbo Zhou [email protected]