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

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...

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Bibliographic Details
Main Authors: Ramli, Muhammad Hafiz (Author), Hisham Faugi, Ahmad Izatul (Author), Mohd Faizal, Nur Mawaddah (Author), Mohd Khadri, NorHaziqah (Author), Mohamad Zain, Jasni (Author)
Format: Book
Published: Universiti Teknologi MARA, 2020-06.
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042 |a dc 
100 1 0 |a Ramli, Muhammad Hafiz  |e author 
700 1 0 |a Hisham Faugi, Ahmad Izatul  |e author 
700 1 0 |a Mohd Faizal, Nur Mawaddah  |e author 
700 1 0 |a Mohd Khadri, NorHaziqah  |e author 
700 1 0 |a Mohamad Zain, Jasni  |e author 
245 0 0 |a Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli ... [et al.] 
260 |b Universiti Teknologi MARA,   |c 2020-06. 
500 |a https://ir.uitm.edu.my/id/eprint/48079/1/48079.pdf 
520 |a 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. 
546 |a en 
690 |a Phishing 
690 |a Algorithms 
655 7 |a Article  |2 local 
655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/48079/ 
787 0 |n https://mjoc.uitm.edu.my 
856 4 1 |u https://ir.uitm.edu.my/id/eprint/48079/  |z Link Metadata