Develop deep learning software with automated filtering of email phishing to counter phishing attacks
DOI:
https://doi.org/10.69511/ijdsaa.v4i0.143Keywords:
Deep Learning, Software, Phishing attacksAbstract
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.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Cheah Khai Xuan, Intan Farahana Kasmin, Salmiah Amin, Nur Khairunnisha Zainal

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
International Journal of Data Science and Advanced Analytics (IJDSAA) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. This license allows users to copy, distribute and transmit an article, adapt the article as long as the author is attributed and the article is not used for commercial purposes.
The author(s) confirms
- The manuscript submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
- The published materials used in the manuscript were obtained permission for reproduction. (if any)