Phishing attacks are a prevailing problem in cybersecurity. In many data breaches, the initial entry can be traced back to phishing. URL-based phishing detection is one of the many ways of phishing attempt detection where solely the properties of ...

In today’s world, methods for real-time web page classification are in need due to the tremendous increase in the number of web pages and Internet usage of the people . To address these problems, in the literature, URL-based methods have been ...

Throughout the past few years, phishing attacks have become an increasingly substantial problem for individuals and organizations. In this non-technical attack, the victim is deceived into accessing a malicious URL that downloads a malicious ...

Darknet is a network that transmits data on the Internet through anonymous network technology and protects the relationship between the two sides of communication from being leaked. Because the IP addresses of both sides of the communication cannot be ...

We approach the phishing detection problem as a data science problem with three different sub-models, each designed to handle a specific sub-task: URL classification, webpage classification based on HTML content and logo detection and recognition ...

Due to the rapid spread of tablet computers, smartphones, and other mobile information devices, wireless communication technology is fully developed and deployed widely. Mobile Internet access has been a main and important way to communicate the world ...

Digital threats such as backdoors, trojans, info-stealers and bots can be especially damaging nowadays as they actively steal information or allow remote control for nefarious purposes. A common attribute amongst such malware is the need for network ...

Malicious URL is an important security issue to the Internet, which has a significant economic impact. By now, it is still a challenging problem. In this paper, we propose that combining statistical analysis of website URLs with machine learning ...

Unsupervised web page classification refers to the problem of clustering the pages in a web site so that each cluster includes a set of web pages that can be classified using a unique class. The existing proposals to perform web page classification do ...

Most web page classifiers use features from the page content, which means that it has to be downloaded to be classified. We propose a technique to cluster web pages by means of their URL exclusively. In contrast to other proposals, we analyze features ...

With the Web grows rapidly, more and more data become available in the Deep Web.But users have to key in a set of keywords in order to access the pages from some web sites. Traditional search engines only index and retrieve Surface Web pages through ...