Understanding the current panorama of threat actor groups worldwide is critical to building efficient cybersecurity programs. Information about threat actor groups’ motivations, tools, tactics and techniques they use to attack, and the type of targets they have in their sights provide valuable information to cybersecurity teams. To achieve this goal is essential to generate intelligence […]

Graph burning is a mathematical game or process that has applications in financial cyber security, as it can be used to model “dirty money” spreading throughout a network of accounts. Hypergraph burning is a similar process that is played on a more complex network-like structure called a hypergraph. We investigate an alternative rule set for […]

In the past decade, deep learning models have demonstrated their highest performance for a variety of tasks. These models outperformed classical machine learning models and even humans in terms of performance and accuracy. However, previous research indicated that these models are vulnerable to out-of-distribution and adversarial inputs. Ideally, these inputs should be rejected by the […]

Tiresias is a client private solution to malware protection and threat intelligence. Tiresias allows a user to put all their incoming files in a cryptographically secure Data Chest locally. After sending the Data Chest to our cloud environment, our AI scans and infers if it is malicious without seeing the actual file content from the […]

People are switching from traditional shopping to internet commerce as Internet access increases quickly. So nowadays people are becoming more dependent on e-commerce-based websites. On the other hand, instead of robbing businesses like banks and stores, modern thieves now use the anonymous internet architecture to track down their victims online. Hackers are employing new strategies, […]

Age-verification mandatory procedure for delivering certain services and products. Traditionally, identification documents have been a common mechanism of age-verification. However, this current strategy is subject to certain risks regarding privacy protection and online forgery. This demonstrates the value in anonymous age verification schemes using biometrics. Considering its age-dependent attributes, Electrocardiogram (ECG) is a potential solution. […]

In this project, we are trying to expose our existing core system functionalities to a public user interface. We will design, implement and test a research prototype user interface that can provide simple and flexible content sharing over a web-based user interface (UI) for organizations such as healthcare or surveillance systems that require a mechanism […]

The master’s degree thesis will be on developing digital twin remote real-time monitoring systems to improve the predictive maintenance of in-service equipment on marine/offshore vessels. This will result in safer sailing because it will be possible to predict when and where failures occur, so that the appropriate corrective actions are initiated in time.

The aim of this project is to develop an application that can proactively protect users from identity theft and create awareness around safe digital practices. For this, we will be developing novel ways of extracting utility out of data and helping users to maintain a least-risk profile score. Most of the computations will be done […]

Bloomberg recently reported that theft and embezzlement of cryptocurrencies, such as Bitcoin and Ether, have become an annual USD $200 million business. Indeed, just between January 2021 and March 2022 investors have lost over US$1 billion in cryptocurrency scams according to the report by the US’s Federal Trade Commission. More than 46,000 people have lost […]

The past two years have shown increasing distrust through online division, polarizing protests and strikes, and destructive riots. This problem has gotten worse due to our unverified, disorganized, and time consuming citizen and stakeholder engagement systems, especially social media, focus groups and town halls, and voting. In order to solve the problem of increasing distrust […]

Pipeline alerts are beneficial to analysts to determine where their attention is needed. However, a high false positive rate leads to a noisy stream and wastes analysts’ time. The first sub-project will aim to classify the alerts as either low or high likelihood of a false positive, allowing analysts to spend their time where it […]