LINKCALCULATOR – AN EFFICIENT LINK-BASED PHISHING DETECTION TOOL
نویسندگان
چکیده
منابع مشابه
An Efficient Approach Based on Neuro-Fuzzy for Phishing Detection
In the Internet era, the online trading of various fields is growing quickly. As a result, cyber crime is increasing constantly. Phishing is a new type of crime aimed at stealing user information via these fake web pages. Most of these phishing web pages look similar to the real web pages in terms of website interface and uniform resource locator (URL) address. Many techniques have been propose...
متن کاملRule-Based Phishing Attack Detection
The World Wide Web has become the hotbed of a multi-billion dollar underground economy among cyber criminals whose victims range from individual Internet users to large corporations and even government organizations. As phishing attacks are increasingly being used by criminals to facilitate their cyber schemes, it is important to develop effective phishing detection tools. In this paper, we pro...
متن کاملAn Image-based Feature Extraction Approach for Phishing Website Detection
Phishing website creators and anti-phishing defenders are in an arms race. Cloning a website is fairly easy and can be automated by any junior programmer. Attempting to recognize numerous phishing links posted in the wild e.g. on social media sites or in email is a constant game of escalation. Automated phishing website detection systems need both speed and accuracy to win. We present a new met...
متن کاملAuntieTuna: Personalized Content-based Phishing Detection
Phishing sites masquerade as copies of legitimate sites (“targets”) to fool people into sharing sensitive information that can then be used for fraud. Current phishing defenses can be ineffective, with training ignored, blacklists of discovered, bad sites too slow to pick up new threats, and whitelists of knowngood sites too limiting. We have developed a new technique that automatically builds ...
متن کاملDiscovering phishing target based on semantic link network
An approach to the discovery of the phishing target of a suspicious webpage is proposed, which is based on construction and reasoning of the Semantic Link Network (SLN) of the suspicious webpage. The SLN is constructed from the given suspicious webpage and its associated webpages. Since reasoning of the SLN can discover implicit relations among webpages, the true association relations between a...
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ژورنال
عنوان ژورنال: Acta Informatica Malaysia
سال: 2020
ISSN: 2521-0874,2521-0505
DOI: 10.26480/aim.02.2020.37.44