Team Members

Mohamed Khaled

Team Leader

Abdelrahman Sakr

Team Member

Mariam Maged 

Team Member

Shady Amr

Team Member

Supervisors

Dr. Hossam Abdelrahman

Assistant professor

Eng. Tarek Talaat

Teaching Assistant

Abstract

Imagine you’re browsing online, and suddenly, your favorite website just won’t load. Frustrating, right? That’s often the work of hackers using what’s known as DDoS attacks, essentially flooding a site with so much fake traffic it can’t cope. Enter CyberEye, the new kid on the block in the world of web extensions. It’s not just any tool; it’s your website’s new best friend, designed to spot the difference between ordinary web traffic and the harmful stuff that could take your site down.  Thanks to some pretty smart machine learning tech, CyberEye can keep an eye on web traffic as it happens, catching threats on the spot. Website owners and cybersecurity buffs now have a powerful ally in keeping their sites up and secure.  With CyberEye, and by the grace of conventional A.I. technologies, we use the intelligence of machine learning to make identifying DDoS threats a swift and easy, ramping up online security.  CyberEye doesn’t just stop there, we’re also working on detecting malicious activity that could be carried out through encryption of DNS over HTTPS packets that aim not only to provide privacy with DoH algorithms but also integrity and make sure to provide high detection accuracy!

System Objectives

Our objective is to create a friendly user interface that serves people with different technical background whether it be regarding DDoS, DoH, or our other services.  We aim to offer the best experience throughout and to make the CyberEye web extension as effective, efficient, and accurate as possible.  We employ the most diverse and well-known machine learning algorithms to deploy our web extension and keep it updated with regular updates which empower the user to surf the Internet without worry of any potential harm from malicious requests.  The general objective is clear and simple while maintaining an environment that’s suitable for regular everyday users, companies, or technical teams.

System Scope

To discuss the scope of this project, It’s a bit like a digital watchdog, constantly on the lookout for Botnet DDoS attacks that aim to hinder websites’ capabilities. Also offer service that counters malicious code that could be encapsulated within a DoH request. Thanks to some clever machine learning algorithms and the use of relevant classifiers, CyberEye is about detecting these threats before they can do any real damage. This piece of writing lays out everything from how it works, how it fits and integrates on the web, and how it makes sure it’s always a step ahead. It’s also about making sure everyone who needs to get their hands on CyberEye, from your everyday user to tech support specialists and even the marketing team, can do so by pressing buttons. It’s all about user-friendliness. So, what we have is a complete roadmap for the extension, from the drawing board to keeping it running smoothly, making sure it safeguards websites against the most common threat in the world.

Documents and Presentations

Proposal

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SRS

You will find here the documents and presentation for our SRS.

SDD

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Thesis

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Document

Presentation

Accomplishments

Publications

Competitions

Competition Title

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