Develop deep learning software with automated filtering of email phishing to counter phishing attacks

Authors

  • Cheah Khai Xuan Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Intan Farahana Kasmin Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Salmiah Amin Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Nur Khairunnisha Zainal Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.69511/ijdsaa.v4i0.143

Keywords:

Deep Learning, Software, Phishing attacks

Abstract

Tech-savvy con artists and identity theft criminals carry out email phishing attacks online. To fool you into giving critical information like bank account passwords and credit card details, they employ spam, bogus websites that seem just like legitimate websites, email, and instant chats. Therefore, this research paper is to develop deep learning software with auto-filtering the phishing email from the sender for prevents unauthorize spoofing and using the survey method to collect the respondent perspective about the phishing email with open and closed questions. Therefore, by using this system will help the users to protect their confidential data.

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Published

2023-06-17

How to Cite

Xuan, C. K., Kasmin, I. F., Amin, S., & Zainal, N. K. (2023). Develop deep learning software with automated filtering of email phishing to counter phishing attacks. International Journal of Data Science and Advanced Analytics, 4(2), 59–62. https://doi.org/10.69511/ijdsaa.v4i0.143

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