Outputs (166)

Improving search space analysis of fuzzing mutators using cryptographic structures (2024)
Presentation / Conference Contribution

This paper introduces a novel approach to enhance the performance of software fuzzing mutator tools, by leveraging cryptographic structures known as substitution-permutation networks and Feistel networks. By integrating these structures into the exis... Read More about Improving search space analysis of fuzzing mutators using cryptographic structures.

Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security (2024)
Presentation / Conference Contribution

Federated learning is an effective approach for training a global machine learning model. It uses locally acquired data without having to share local data with the centralised server. This method provides a machine learning model beneficial for all p... Read More about Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security.

A novel hybrid framework for realistic UAV detection using a mixed RF signal database (2024)
Presentation / Conference Contribution

Advances in Unmanned Aerial Vehicles (UAVs) empower a plethora of applications but also raise significant security and privacy challenges. Effective UAVs detection systems are crucial for mitigating these risks. This paper deals with this problem and... Read More about A novel hybrid framework for realistic UAV detection using a mixed RF signal database.

On complexity of colloid cellular automata (2024)
Journal Article

The colloid cellular automata do not imitate the physical structure of colloids but are governed by logical functions derived from them. We analyze the space-time complexity of Boolean circuits derived from the electrical responses of colloids-specif... Read More about On complexity of colloid cellular automata.

Generative AI in network security and intrusion detection (2024)
Book Chapter

Protecting virtual assets from cyber threats is essential as we live in a digitally advanced world. Providing a responsible emphasis on proper network security and intrusion detection is imperative. On the other hand, traditional strategies need a su... Read More about Generative AI in network security and intrusion detection.

Self-management interventions for chronic widespread pain including fibromyalgia: A systematic review and qualitative evidence synthesis (2024)
Journal Article

Supporting behavioural self-management is increasingly important in the care for chronic widespread pain (CWP), including fibromyalgia. Understanding peoples' experiences of these interventions may elucidate processes and mechanisms that lead to or h... Read More about Self-management interventions for chronic widespread pain including fibromyalgia: A systematic review and qualitative evidence synthesis.

Analyst-driven XAI for time series forecasting: Analytics for telecoms maintenance (2024)
Presentation / Conference Contribution

Time series forecasting facilitates real-time anomaly detection in telecom networks, predicting events that disrupt security and service. Current research efforts have been found to focus on new forecasting libraries, more rigorous data cleaning meth... Read More about Analyst-driven XAI for time series forecasting: Analytics for telecoms maintenance.

Investigation of proteinoid microspheres for cellular nanonetworks based on frequency response (2024)
Presentation / Conference Contribution

There is a growing interest in proteinoid (thermal proteins) microspheres as a potentially valuable components for creating nano-scale sensing and computing networks. This research aims to investigate how proteinoid microspheres respond to different... Read More about Investigation of proteinoid microspheres for cellular nanonetworks based on frequency response.

Insights into how digital luthiers approach design (2024)
Presentation / Conference Contribution

The design of digital musical instruments represents a complex role that incorporates creative practice, design and engineering. It is, of course, a deep discussion topic and research focus within the NIME community. This paper discusses how digital... Read More about Insights into how digital luthiers approach design.

Efficient load distribution in C-RAN: A priority-based level order traversal approach (2024)
Journal Article

The Cloud Radio Access Network addresses future communication challenges by managing massive traffic demands through its cloud-based infrastructure. C-RAN's dynamic adjustments of Baseband Units to Remote Radio Heads connections enable flexible resou... Read More about Efficient load distribution in C-RAN: A priority-based level order traversal approach.