The project “Design and Implementation of a Type System for Enhanced Mathematical Operations in Rings” aims to develop a Java library with a straightforward application programming interface (API) that simplifies complex mathematical computations within rings, including solving matrix equations. While this library is designed as a part for the bigger research project called “Symmetric system […]

Living-off-the-land binaries (LOLBins) refer to legitimate executables pre-installed with the operating system, like powershell.exe and certutil.exe, exploited by attackers for sophisticated fileless attacks. These attacks, leveraging LOLBins, are often undetectable and pose challenges for detection, incident response, and threat hunting. Microsoft Copilot’s integration as a default tool in Windows 11 adds complexity to the threat […]

Decentralized P2P energy trading using blockchain technology has been the top research and development subject around the globe during past years, especially in the presence of large-scale integrated RESs. The blockchain-based applications could facilitate the energy transition and paradigm shift in energy and pave the way for reaching future net-zero smart energy systems. The main […]

Cryptographic algorithms are fundamental tools for securing digital information, with symmetric and asymmetric algorithms serving as the cornerstone of modern encryption techniques. Symmetric algorithms utilize a single key for both encryption and decryption, while asymmetric algorithms employ a pair of keys for these operations. Classical cryptographic algorithms, including RSA and AES, have been extensively utilized […]

In-vehicle networks of modern automobiles, particularly Controller Area Networks (CAN), are vulnerable to cyberattacks which can cause dangerous accidents. There are many CAN intrusion detection systems (IDS) that use different techniques and features. While there are several CAN datasets available from real vehicles and CAN testbeds, we identify a lack of datasets containing signals decoded […]

The project is expected to deepen understanding of Artificial Intelligence in a modern Global Security context by analysing the practical implications of its usage by the Russian Federation in the full-scale invasion of Ukraine. The goal of the project is to create a comparative analysis and to reveal the difference or consistency within the declared […]

La cybersécurité est devenue une préoccupation majeure pour les entreprises et les organisations en raison de la croissance exponentielle des menaces en sécurité informatique. Internet est un élément critique qui est devenu un réseau universel de communication. Les attaques réseau, y compris les attaques par déni de service distribué (DDoS), sont considérées comme l’une des […]

Le numérique est désormais omniprésent dans nos activités quotidiennes. Nombreuses de nos actions sont numérisées, analysées et assistées par un ordinateur. Or, nous produisons de plus en plus de logiciels et les bugs (ou souvent les défauts de spécification) sont largement sous-estimés. La tendance en effet et à produire des mises à jour (parfois quotidiennes, souvent hebdomadaires) plutôt […]

This project involves assisting with Digital Identity Transformation Programs by conducting business requirements gathering and cybersecurity assessments. The main focus is on implementing top-tier identity solutions to enhance identity and access management (IAM). The research objectives include developing IAM assessments to evaluate the current state of IAM within client organizations. This will inform the development […]

Given the ever growing neural networks being developed and the abundant empirical evidence that model/data scale play an important role in enabling high-quality models of data, inference cost becomes a bottleneck to the deployment of state-of-the-art automated predictors. To address that, this research project aims to develop algorithms that can predict outcomes by combining predictions […]

Fraud prevention tools play a critical role in real estate transactions. Even though digital fraudsters employ all newly available tools to find loopholes in the existing technological ecosystem, the information systems involved in real estate transactions typically lag behind in terms of digital identity verification and management. In order to facilitate industry adoption of the […]

As cyber adversaries are becoming more creative, analysts are required to figure out more innovative ways to detect them to be able to respond before it’s too late. To detect any underlying threat inside a system, data logs are collected showing events and activities occurring inside the system. Adversaries nowadays are capable of evading detection […]