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A cybersecurity solution that leverages the power of artificial intelligence and machine learning to accurately classify incoming network traffic based on the tactics employed by potential attackers. The system is trained using data gathered from a Cowrie honeypot deployed in the cloud.

Home Page: https://threat-ai.vercel.app

Python 39.30% JavaScript 14.83% HTML 43.76% CSS 2.11%
artificial-intelligence loganalysis machine-learning python scripting webdevelopment

threatai's Introduction

Hello from Taha ๐Ÿ‘‹: A Web Developer with a Passion for Network Security

I'm a recent IT graduate from Middlesex University with a strong background in web development and video engineering. I'm also incredibly passionate about the field of network security and constantly striving to expand my knowledge in this area. Looking forward to collaborating and contributing to the tech community on GitHub!

Languages and Tools:

Front-End

vuejs html5 css3 javascript

Back-End

nodejs express

Programming

java python

AI and Machine Learning

scikit_learn tensorflow pandas

Database

mongodb elasticsearch oracle

Cloud

aws heroku

Visualisation

kibana

Systems

linux

Tools

figma git postman

Connect with me on Linkedin:

taha-arshad10

threatai's People

Contributors

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