Detection of Phishing Websites Using Machine Learning | Python Final Year IEEE Project 2024

Phishing Attack Detection enhances cybersecurity by employing neural networks to identify and mitigate phishing threats. This application analyzes email content, URLs, and user behavior to recognize patterns indicative of phishing attempts. The neural networks’ ability to adapt to evolving phishing techniques ensures proactive detection and protection against fraudulent activities. This innovative approach contributes to safeguarding sensitive information and maintaining a secure online environment.

Phishing Attack in Cyber Security

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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