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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Universiti Teknologi MARA
2020
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/48079/1/48079.pdf https://ir.uitm.edu.my/id/eprint/48079/ https://mjoc.uitm.edu.my |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833068563388170240 |
|---|---|
| author | Ramli, Muhammad Hafiz Hisham Faugi, Ahmad Izatul Mohd Faizal, Nur Mawaddah Mohd Khadri, NorHaziqah Mohamad Zain, Jasni |
| author_facet | Ramli, Muhammad Hafiz Hisham Faugi, Ahmad Izatul Mohd Faizal, Nur Mawaddah Mohd Khadri, NorHaziqah Mohamad Zain, Jasni |
| author_sort | Ramli, Muhammad Hafiz |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Article |
| id | my.uitm.ir-48079 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2020 |
| publisher | Universiti Teknologi MARA |
| record_format | eprints |
| spelling | my.uitm.ir-480792021-06-23T02:40:09Z https://ir.uitm.edu.my/id/eprint/48079/ Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.] mjoc Ramli, Muhammad Hafiz Hisham Faugi, Ahmad Izatul Mohd Faizal, Nur Mawaddah Mohd Khadri, NorHaziqah Mohamad Zain, Jasni Phishing Algorithms 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. Universiti Teknologi MARA 2020-06 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/48079/1/48079.pdf Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.]. (2020) Malaysian Journal of Computing (MJoC) <https://ir.uitm.edu.my/view/publication/Malaysian_Journal_of_Computing_=28MJoC=29/>, 5 (1). pp. 362-373. ISSN 2600-8238 https://mjoc.uitm.edu.my |
| spellingShingle | Phishing Algorithms Ramli, Muhammad Hafiz Hisham Faugi, Ahmad Izatul Mohd Faizal, Nur Mawaddah Mohd Khadri, NorHaziqah Mohamad Zain, Jasni Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.] |
| title | Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.] |
| title_full | Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.] |
| title_fullStr | Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.] |
| title_full_unstemmed | Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.] |
| title_short | Anti-phishing with google extension 3H1M using blacklist algorithm / Muhammad Hafiz Ramli … [et al.] |
| title_sort | anti-phishing with google extension 3h1m using blacklist algorithm / muhammad hafiz ramli … [et al.] |
| topic | Phishing Algorithms |
| url | https://ir.uitm.edu.my/id/eprint/48079/1/48079.pdf https://ir.uitm.edu.my/id/eprint/48079/ https://mjoc.uitm.edu.my |
| url_provider | http://ir.uitm.edu.my/ |