View Proposal

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Proposer

Marwan Fuad

Title

Detecting Fake Accounts on Social Media Platforms

Goal

The goal of this project is to develop an application that detects fake accounts on social media platforms such as Facebook, LinkedIn, or Twitter

Description

This project will focus on creating an application for detecting fake accounts on social media platforms. The system will analyze various features such as profile information, posting frequency, network connections, account meta data, interaction patterns, and any other features, to classify accounts as either genuine or suspicious. The project will involve data collection, feature engineering, model selection, and testing on real-world datasets. The project will also explore the ethical implications of such technology and propose ways to ensure user privacy and data security. The outcome of this project should be of level that is suitable for a peer-reviewed publication

Resources

Publicly available datasets such as "Twitter Fake Account Dataset" or "LinkedIn Dataset" for training and testing the model. APIs from platforms like Twitter and LinkedIn for real-time data analysis

Background

Url

Difficulty Level

Challenging

Ethical Approval

Full

Number Of Students

2

Supervisor

Marwan Fuad

Keywords

fake accounts detection, machine learning, social media security, data analysis, cyber security

Degrees

Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Computer Science for Cyber Security
Master of Science in Data Science
Master of Science in Network Security
Bachelor of Science in Computer Science (Cyber Security)