Building a Full Causality Chain Across an Enterprise System (completed)

Data Provenance refers to records of the inputs, entities, systems and process that influence data of interest, providing a historical record of the data and its origins. To provide a holistic view of the data provenance in an enterprise system, the provenance records of the activities carried out on a client workstation is important. Last … full description “Building a Full Causality Chain Across an Enterprise System (completed)”

Federated Machine Learning – Security and Privacy Evaluation Framework (available)

Project Description User data is essential for many of the modern business operations, especially related to the building consumer segmentation and profiling – for marketing and services personalisation. Dealing with user data has its positive and negatives, especially after the General Data Protection Regulation (GDPR) collecting and storing user’s personal data. Centralised machine learning approaches … full description “Federated Machine Learning – Security and Privacy Evaluation Framework (available)”

Machine Learning vs Machine Learning in Malware Evasion (available)

Machine learning is a popular approach to signature-less malware detection because it can generalize to new (unseen) malware families. Some recent works have proposed the use of AI/ML-powered malware to bypass machine learning anti-malware systems. The goal of the project is to model the system of malware vs anti-malware systems as two opponents using various … full description “Machine Learning vs Machine Learning in Malware Evasion (available)”

Python and Unreal Engine 4 integration (available)

This challenging project aims to integrate a Python-based agent framework that has been developed at RHUL with Unreal Engine 4 (UE4). With recent successes in reinforcement learning and other online learning approaches there has been much work on developing environments to test new and state of the art algorithms. UE4 provides the perfect development environment … full description “Python and Unreal Engine 4 integration (available)”

Stable Marriage of Students (completed)

Constraint Satisfaction and the final year projects system Prof Cohen is a world leading researcher in the theory and practice of constraints and has written some tools for the department that need to be improved. At Royal Holloway, we allocate students to projects and staff as supervisors of those projects using a semi-automated process, using … full description “Stable Marriage of Students (completed)”