Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.]

Ramli, Muhammad Hafiz and Hisham Faugi, Ahmad Izatul and Mohd Faizal, Nur Mawaddah and Mohd Khadri, NorHaziqah and Mohamad Zain, Jasni (2020) Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.]. Malaysian Journal of Computing (MJoC), 5 (1). pp. 362-373. ISSN 2600-8238

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Official URL: https://mjoc.uitm.edu.my

Abstract

The advancement of technologies has rapidly risen for the past few years, which brings a lot of benefits especially to the users. However, the developments have also contributed many security issues, where security attacks have also become more advanced. Phishing is one of the security attacks that describe spoof emails or websites to trick users into exposing their personal or any confidential information. Hence, this project develops a solution, 3H1M extension, to help in mitigating the phishing issues when browsing the Internet. This extension will compare the visited website URL with the blacklisted website lists in the database to identify the validity of the website. If the user is visiting a malicious website, a pop-up message will be displayed on the screen and the user will be directed to the search engine page. A comparison is made between a web browser implemented with and without the 3H1M extension. It can be observed that the extension is able to help the users to distinguish between the real and malicious websites.

Metadata

Item Type: Article
Creators:
Creators
Email
Ramli, Muhammad Hafiz
UNSPECIFIED
Hisham Faugi, Ahmad Izatul
UNSPECIFIED
Mohd Faizal, Nur Mawaddah
UNSPECIFIED
Mohd Khadri, NorHaziqah
UNSPECIFIED
Mohamad Zain, Jasni
jasni@tmsk.uitm.edu.my
Subjects: H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology > Crimes and offenses > Computer crimes > Phishing
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Malaysian Journal of Computing (MJoC)
UiTM Journal Collections: UiTM Journal > Malaysian Journal of Computing (MJoC)
ISSN: 2600-8238
Volume: 5
Number: 1
Page Range: pp. 362-373
Official URL: https://mjoc.uitm.edu.my
Item ID: 48079
Uncontrolled Keywords: Anti-phishing, 3H1M, Blacklist Algorithm and Google Extension.
URI: https://ir.uitm.edu.my/id/eprint/48079

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48079

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