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Public And Private E-Mail Services For Spam Spoiler Detection System

  • Unique Paper ID: 174567
  • Volume: 11
  • Issue: 11
  • PageNo: 3162-3167
  • Abstract:
  • In recent years, cyber security incidents have occurred frequently. In most of these incidents, attackers have used different types of spam email as a knock-on to successfully invade government systems, well-known companies, and websites of politicians and social organizations in many countries. This project proposed to design a novel efficient approach named Spam Spoiler for big e-mail data classification into four different classes: Normal, Fraudulent, Harassment, and Suspicious E- mails by using LSTM-based Algorithm
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 3162-3167

Public And Private E-Mail Services For Spam Spoiler Detection System

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