With traditional summative exams students’ identities are often hidden from the examiners. However, achieving anonymity can be challenging with portfolio and coursework-based assessments. This study was motivated by a discussion of whether ...

Clogging Denial of Service (DoS) attacks have disrupted or disabled various networks, in spite of security mechanisms. External adversaries can severely harm networks, especially when high-overhead security mechanisms are deployed in resource-...

Federated learning eliminates the necessity of transferring private training data and instead relies on the aggregation of model updates. Several publications on privacy attacks show how these individual model updates are vulnerable to the extraction of ...

Addressing a critical aspect of cybersecurity in online gaming, this paper systematically evaluates the extent to which kernel-level anti-cheat systems mirror the properties of rootkits, highlighting the importance of distinguishing between protective ...

5G brings significant advancement, offering lower latency, and improved connectivity. Yet, its complexity, stemming from factors such as integrating advanced technologies like Software Defined Networking (SDN) and slicing, introduces challenges in ...

Continuous Authentication (CA) mechanisms involve managing sensitive data from users which may change over time. Both requirements (privacy and adapting to new users) lead to a tension in the amount and granularity of the data at stake. However, no ...

HTTP client hints are a set of standardized HTTP request headers designed to modernize and potentially replace the traditional user agent string. While the user agent string exposes a wide range of information about the client’s browser and device, ...

Trustworthy Artificial Intelligence (TAI) has proven invaluable in curbing potential negative repercussions tied to AI applications. Within the TAI spectrum, Federated Learning (FL) emerges as a promising solution to safeguard personal information in ...

Audio content recognition is an emerging technology that forms the basis for mobile services, such as automatic song recognition, second-screen synchronization, and broadcast monitoring. The technology utilizes audio fingerprints, short patterns ...

Android has empowered third-party apps to access data and services on mobile devices since its genesis.This involves a wide spectrum of user privacy-sensitive data, such as the device ID and location. In recent years, Android has taken proactive measures ...

Although internet access and affordability are increasingly at the center of policy decisions around issues of the “digital divide” in the US, the complex nature of usage as it relates to structural inequality is not well-understood. We partnered with ...

Recommender systems (RecSys) solve personalisation problems and therefore heavily rely on personal data - demographics, user preferences, user interactions - each baring important privacy risks. It is also widely accepted that in RecSys performance and ...

In this paper, we explore the nuanced and increasingly relevant issue of Multi-user Privacy (MP) in the context of Large Language Models (LLMs). Addressing the gap in current research, we examine how LLMs can inadvertently compromise the privacy of ...

Advances in artificial intelligence and human-computer interaction will likely lead to extended reality (XR) becoming pervasive. While XR can provide users with interactive, engaging, and immersive experiences, non-player characters are often utilized ...

Moving operations to the cloud has become a way of life for many educational institutions. Much of the information these institutions store in the cloud is protected by Family Educational Rights and Privacy Act (FERPA), which was last amended in 2002, ...

With the advancement of data-intensive technologies and online tracking opportunities, education on privacy is becoming a bigger priority in cybersecurity curricula. Owing to its multidimensional and context-dependent nature, privacy and its protection ...

Current frameworks of data governance often fail to account for the plurality of the publics they are required to safeguard. Several alternative structures are emerging to democratise and rethink data governance to involve and protect people and their ...

Smart home cameras (SHCs) offer convenience and security to users, but also cause greater privacy concerns than other sensors due to constant collection and processing of sensitive data. Moreover, privacy perceptions may differ between primary users and ...

Enhancing privacy on smart contract-enabled blockchains has garnered much attention in recent research. Zero-knowledge proofs (ZKPs) is one of the most popular approaches, however, they fail to provide full expressiveness and fine-grained privacy. To ...

The rapid growth of web tracking via advertisements has led to an increased adoption of privacy-preserving browser extensions. These extensions are crucial for blocking trackers and enhancing the overall web browsing experience. The advertising industry ...