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Efficient E-Mail Spam Detection Strategy Using Genetic Decision Tree Processing with NLP Features.

Safaa S I Ismail1, Romany F Mansour1, Rasha M Abd El-Aziz2

  • 1Department of Mathematics, Faculty of Science, New Valley University, El-Kharga 72511, Egypt.

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This study introduces a novel hybrid approach, Genetic Decision Tree Processing with Natural Language Processing (GDTPNLP), to combat spam in both text and voice emails. GDTPNLP effectively identifies and filters unwanted messages, enhancing email security for all users.

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Area of Science:

  • Computer Science
  • Information Security
  • Artificial Intelligence

Background:

  • Email remains a primary professional communication channel, making it a target for spam and scams.
  • While text email spam is researched, voice email security is an emerging challenge.
  • Voice emails, or voicemails, deliver speech-based information, presenting unique security vulnerabilities.

Purpose of the Study:

  • To develop a robust mechanism for detecting spam in both text and voice emails.
  • To address the security gap in voice-based email communication.
  • To propose a hybrid data processing approach for comprehensive email spam identification.

Main Methods:

  • A hybrid data processing mechanism named Genetic Decision Tree Processing with Natural Language Processing (GDTPNLP) was developed.
  • The GDTPNLP approach integrates text and voice data processing for spam detection.
  • The system was evaluated for its effectiveness in identifying spam in various email formats.

Main Results:

  • The proposed GDTPNLP approach demonstrated a higher spam detection rate.
  • Improvements were observed in text extraction speed, overall performance, and cost efficiency.
  • The accuracy of spam identification was significantly enhanced by the hybrid method.

Conclusions:

  • GDTPNLP offers an effective solution for identifying spam in both text and voice emails.
  • The method provides a significant advancement in securing email communication channels.
  • The research highlights the importance of hybrid approaches for modern cybersecurity challenges.