Wireshark-Packet-Analysis
The objective of this project is to perform packet analysis on Wireshark packets. In order to do this, we will leverage some of Python's libraries like Scapy, Pandas and Seaborn.
Getting Started
- Sign up for an IBM Cloud Account.
- Login to Watson Studio.
1. Running the Jupyter notebook
1. Sign up for Watson Studio
Sign up for IBM's Watson Studio.
2. Create a new Project
Note: By creating a project in Watson Studio a free tier
Object Storage
service will be created in your IBM Cloud account. Take note of your service names as you will need to select them in the following steps.
-
On Watson Studio's Welcome Page select
New Project
. -
Choose the
Data Science
option and clickCreate Project
. -
Name your project, select the Cloud Object Storage service instance and click
Create
.
2. Import notebook to Watson Studio Project
-
Create a New Notebook.
-
Import the notebook found in this repository.
-
Give a name to the notebook and select a
Python 3.5
runtime environment, then clickCreate
.
3. Import dataset to Watson Studio Project
-
Click on
Add to Project
and selectData
. -
A panel should appear on the right where you can drag and drop your data assets.
-
Download the Packet file from the repository and drag and drop it onto the panel.
-
You can now use it in your Watson notebook.