This article introduces algorithmic bias in machine learning (ML) based marketing models.
Although the dramatic growth of algorithmic decision making continues to gain momentum in …

Malicious websites pose a challenging cybersecurity threat. Traditional tools for detecting
malicious websites rely heavily on industry-specific domain knowledge, are maintained by …

Abstract Information systems and cloud computing infrastructures are frequently exposed to
various types of threats. Without detection and prevention mechanisms, the threats can …

The powerful capabilities of modern browsers have pushed the web application logic to the
user side, in order to minimize latency, increase scalability of the service and improve users' …

In this work, we perform a comprehensive analysis of the security of text input fields in web
browsers. We find that browsers' coarse-grained permission model violates two security …

Browser extensions are widely used nowadays to customize users' browsers with more
functionalities, meanwhile introduce potential risks due to escalated privileges. Existing …

Smart environments such as smart homes are a collection of IoT devices, sensors, artificial
intelligence and remote control systems. These technologies come with many possible …

Browser extensions offer a variety of valuable features and functionalities. They also pose a
significant security risk if not properly designed or reviewed. Prior works have shown that …

Web browsers have become an integral part of our daily lives, granting us access to vast
information and services. However, this convenience significantly risks personal information …

Abstract Man-in-the-browser (MitB) attacks, often implemented as malicious browser
extensions, have the ability to alter the structure and contents of web pages, and stealthily …