| Title | Computer Vision Based Framework For Detecting Phishing Webpages |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Cernica, Ionuţ, Popescu, Nirvana |
| Conference Name | 2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet) |
| Keywords | blacklisting, Browsers, Computer vision, HTML, Human Behavior, JavaScript, machine learning, phishing, pubcrawl, Servers, Spear-phishing, Tools |
| Abstract | One of the most dangerous threats on the internet nowadays is phishing attacks. This type of attack can lead to data breaches, and with it to image and financial loss in a company. The most common technique to exploit this type of attack is by sending emails to the target users to trick them to send their credentials to the attacker servers. If the user clicks on the link from the email, then good detection is needed to protect the user credentials. Many papers presented Computer Vision as a good detection technique, but we will explain why this solution can generate lots of false positives in some important environments. This paper focuses on challenges of the Computer Vision detection technique and proposes a combination of multiple techniques together with Computer Vision technique in order to solve the challenges we have shown. We also will present a methodology to detect phishing attacks that will work with the proposed combination techniques. |
| DOI | 10.1109/RoEduNet51892.2020.9324850 |
| Citation Key | cernica_computer_2020 |
Computer Vision Based Framework For Detecting Phishing Webpages