Research of Detection and Prevention of Phishing and Proposal of Phishing Detector Solution

Phishing Detect Prevent Anti-phishing

Authors

  • Chin Xin Yi School of Computing Asia Pacific University of Technology and innovation (APU) Kuala Lumpur, Malaysia
  • Dr. Intan Farahana Binti Kamsin
    intan.farahana@staffemail.apu.edu.my
    School of Computing Asia Pacific University of Technology and innovation (APU) Kuala Lumpur, Malaysia
Vol. 6 No. 3 (2022)
Original Research
January 27, 2026

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In these last few years, the cases of online phishing scams rose swiftly, making hundreds of thousands of victims lost their sensitive information which could expose them in danger. To solve this problem, this research aims to build an improved detective and preventive anti-phishing software that can more effectively decrease the phishing scams worldwide. To further extending the previously solutions and develop an upgraded software by providing a more comprehensive, secured and easy way in order to efficiently prevent and detect phishing scams. To carry out the data collection session, the respondent is decided to be the staff and students in Asia Pacific University and the expected number of respondents is 100. As for the process of sampling the data gathered, the systematic sampling, which is categorized under probability sampling, is selected in this paper. Moreover, quantitative research will be decided to be the technique to collect data in this project, as one of the types of quantitative research, survey is comparatively suitable than the other methods. Undoubtedly, phishing attacks has become one of the most serious cybercriminals, causing loss of personal information and financial. Therefore, the proposed solution should be spread and applied in order to mitigate the cases of phishing attacks, achieving a secured internet environment for the users.