Phishing Detection and Prevention on E-Voting System
Student: IBRAHIM SHANONO (Project, 2025)
Department of Computer Science
Kaduna Polytechnic, Kaduna
Abstract
The abstract of this project describes an online voting system that uses Visual Cryptography (VC) to secure critical and confidential internal corporate decisions. The system is developed as a web application using HTML, CSS, JavaScript, and PHP for its user-friendliness and compatibility, with MySQL used as the backend database.
Keywords
phishing
detection
prevention
e-voting
system
For the full publication, please contact the author directly at: gospelustarz@gmail.com
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Institutions
- Federal University of Technology, Minna, Niger State 47
- Federal University of Technology, Owerri, Imo State 95
- Federal University Oye-Ekiti, Ekiti State 41
- Federal University, Birnin-Kebbi, Kebbi State 37
- Federal University, Dutse, Jigawa State 6
- Federal University, Dutsin-Ma, Katsina State 63
- Federal University, Gashua, Yobe State 3
- Federal University, Gusau, Zamfara State 14
- Federal University, Kashere, Gombe State 1
- Federal University, Lafia, Nasarawa State 6