Page 115 - tech fest 2025 אשדוד חוברת תקצירים

Book of Abstracts | 2025 Phishing Attack Detection Using Machine Learning, Text Analysis and URL Analysis
SE-C-05
Efrat Jamil; efrat.jamil@gmail.com Shir Sabag; shirsab12@gmail.com
Advisor: Dr. Kiril Danilchenko
SCE - Shamoon College of Engineering, Ashdod
Phishing attacks are growing cyber threats that exploit human vulnerabilities via deceptive messages and fake links. The goal of this project is to develop an accessible and user-friendly tool that detects phishing by analyzing message content and embedded URLs. Our system is based on a literature review and combines supervised machine learning (ML), text analysis, and features data extraction from links—to identify suspicious patterns indicating phishing attempts. A key challenge was collecting a dataset of real phishing messages and performing detailed content analyses. This tool is meant to raise user awareness and reduce the impact of phishing by fast and accurate threat detection. Our project highlights the importance of combining AI with practical tools for the improvement of digital security.
Keywords: cybersecurity, ML, phishing, URL analysis, user awareness
A Smart Management System for Electric Vehicle Charging Stations
SE-C-06
Shiraz Nagaoker; shiraz120010@gmail.com Moran Avraham; moranavraham11@gmail.com
Advisor: Dr. Lior Aronshtam
SCE - Shamoon College of Engineering, Ashdod
In an era of transition to electric transportation, the growing use of electric vehicles highlights the need for smart systems to manage charging stations effectively. This project's main goal is to improve efficiency and user experience at charging stations. To achieve this, an innovative system was developed that locates available stations by user location, enables spot reservations, manages queues with a dynamic algorithm, and offers personalized route suggestions. A user-friendly website provides real-time updates on station status, load, and queues. Built on “DevOps” principles, it ensures continuous updates and seamless operation. Our project is important because it reduces wait times, enhances system efficiency, and encourages greener, more accessible, electric transportation for the future.
Keywords: “DevOps”, electric vehicles, queue management, smart charging, user experience
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