Abstract
Phishing is one of the most common attacks in the world, especially with the increasing usage of mobile platforms and e-commerce. Although many users are weary of phishing attacks from suspicious paths in the URL address, phishing still accounts for a large proportion of all of malicious attacks as it is easy to deploy. Most browser vendors mainly adopt two approaches against phishing; the blacklist and the heuristic-based. However, both have related limitations. In this paper, a novel method was proposed to protect against phishing attacks. By using image recognition (OCR) technology, phishing attacks can be distinguished from the actual website by reading the logos on the website and comparing with the site URL. An easy to implement prototype demonstrated a high accuracy of detection in the experimental trials.
Original language | English |
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Title of host publication | 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security) |
Publisher | IEEE Computer Society |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 9781728102290 |
ISBN (Print) | 9781728102306 |
DOIs | |
Publication status | Published - 31 Oct 2019 |
Event | Cyber Science 2019 - Oxford, United Kingdom Duration: 3 Jun 2019 → 4 Jun 2019 https://www.c-mric.com/conferences/ |
Conference
Conference | Cyber Science 2019 |
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Country/Territory | United Kingdom |
City | Oxford |
Period | 3/06/19 → 4/06/19 |
Internet address |
Keywords
- Phishing
- OCR
- Phishing prevention