Phishing in 2020: Investigating Suspicious Content through Crowdsourcing Personal Experiences

Description

Receiving suspicious content through emails, SMS, social media or even phonecalls is an annoying experience which could lead to catastrophic consequences (i.e. by pressing on a phishing link or downloading an attachment). In this project we aim to collect experiences through a web-based tool in order to build a taxonomy and investigate ways to combat phishing attacks.

Tasks

• Review of related literature on phishing and suspicious content threats, taxonomies, and approaches in usable security.
• Design and implementation of a web-based tool to crowdsource examples of suspicious content and personal experiences in high quality
• Conducting an in-depth evaluation of collected data and building a comprehensive taxonomy

Requirements

• Independent scientific work and creative problem solving
• Web development experience
• Interest Usable Privacy and Security

For further information please contact:
mariam.hassib@unibw.de , yasmeen.essam@unibw.de