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

  • Unique Paper ID: 174567
  • 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

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{174567,
        author = {Syed suhel A and Theju KV and Yeshwanth reddy Y and Ms. T. Vinothini},
        title = {Public And Private E-Mail Services For Spam Spoiler Detection System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3162-3167},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174567},
        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},
        keywords = {},
        month = {April},
        }

Cite This Article

A, S. S., & KV, T., & Y, Y. R., & Vinothini, M. T. (2025). Public And Private E-Mail Services For Spam Spoiler Detection System. International Journal of Innovative Research in Technology (IJIRT), 11(11), 3162–3167.

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