All Outputs (467)

A lightweight integrity-driven federated learning approach to mitigate poisoning attacks in IoT (2024)
Presentation / Conference Contribution

Despite its distributed nature and being privacy-preserving by nature, Federated Learning (FL) is vulnerable to poisoning attacks in which malicious actors can inject fake model parameters or false data to compromise the learning process. This articl... Read More about A lightweight integrity-driven federated learning approach to mitigate poisoning attacks in IoT.

Assuring correctness, testing, and verification of x-compiler by integrating communicating stream x-machine (2024)
Presentation / Conference Contribution

Compiler design plays an important role in ensuring that the translation of the programs written in high-level language into executable code is correct. However, in todays’ safety-critical environments, security gaps, visible and hidden defects in co... Read More about Assuring correctness, testing, and verification of x-compiler by integrating communicating stream x-machine.

On recombination (2024)
Journal Article

The predominant explanations for the inclusion of chromosomal recombination during meiosis are either that it serves as a mechanism for repair or for increased adaptability. However, neither gives a clear immediate selective advantage to the reproduc... Read More about On recombination.

A risk assessment analysis to enhance the security of OT WAN with SD-WAN (2024)
Journal Article

This paper introduces a comprehensive risk assessment of various wide area network (WAN) technologies as applied to Operational Technology (OT) infrastructures, thus uncovering which WAN technology is best suited for OT to mitigate the risks of Denia... Read More about A risk assessment analysis to enhance the security of OT WAN with SD-WAN.

The effects of omeprazole on the neuron-like spiking of the electrical potential of proteinoid microspheres (2024)
Journal Article

This study examines a new approach to hybrid neuromorphic devices by studying the impact of omeprazole–proteinoid complexes on Izhikevich neuron models. We investigate the influence of these metabolic structures on five specific patterns of neuronal... Read More about The effects of omeprazole on the neuron-like spiking of the electrical potential of proteinoid microspheres.

Visible light: Shaping chemical intelligence in proteinoid–ZnO interfaces (2024)
Journal Article

We study the emergence of chemical intelligence in proteinoid–ZnO nanocomposites through their interaction with visible light. When these novel materials are exposed to light, they display electrical spiking behaviour that is similar to the action po... Read More about Visible light: Shaping chemical intelligence in proteinoid–ZnO interfaces.

Boolean circuits in colloidal mixtures of ZnO and proteinoids (2024)
Journal Article

Liquid computers use incompressible fluids for computational processes. Here, we present experimental laboratory prototypes of liquid computers using colloids composed of zinc oxide (ZnO) nanoparticles and microspheres containing thermal proteins (pr... Read More about Boolean circuits in colloidal mixtures of ZnO and proteinoids.

Leveraging deep reinforcement learning and healthcare devices for active travelling in smart cities (2024)
Journal Article

Smart cities are increasingly challenged by population growth and the environmental emissions of urban transportation systems, necessitating sustainable urban planning to improve public health, environmental quality, and overall urban livability. A n... Read More about Leveraging deep reinforcement learning and healthcare devices for active travelling in smart cities.

Achieving liquid processors by colloidal suspensions for reservoir computing (2024)
Journal Article

The increasing use of machine learning, with its significant computational and environmental costs, has motivated the exploration of unconventional computing substrates. Liquid substrates, such as colloids, are of particular interest due to their abi... Read More about Achieving liquid processors by colloidal suspensions for reservoir computing.

Generative AI for visualization (2024)
Book Chapter

The primary objective of this chapter is focused on improvement and helping Generative AI for visualization such as automating the design of visuals and making it easier to understand patterns, trends, and outliers. Recent advances in machine learnin... Read More about Generative AI for visualization.

Machine learning models for detecting software vulnerabilities (2024)
Book Chapter

Pay close attention to finding vulnerabilities and making secure software, we need to become less vulnerable. Vulnerable software always gives significant chances for hackers to inject malicious SQL code and interfere with its functionality. Security... Read More about Machine learning models for detecting software vulnerabilities.

Hardware vulnerabilities: Taxonomy and business security models (2024)
Book Chapter

The primary objective of this chapter is to address the hardware vulnerabilities risks and challenges. A hardware vulnerability is a flaw in a computer system that can be remotely exploited by threat actors. They can then infiltrate a network by intr... Read More about Hardware vulnerabilities: Taxonomy and business security models.

The lycra arm sleeve for treatment of glenohumeral subluxation in people with sub-acute stroke: A randomised controlled (RC) feasibility study (2024)
Journal Article

Background: A Lycra arm sleeve has the potential to reduce glenohumeral subluxation (GHS) in people with stroke (PwS). Aims were 1) to provide feasibility data to inform a future fully powered randomised controlled trial 2) to understand whether pati... Read More about The lycra arm sleeve for treatment of glenohumeral subluxation in people with sub-acute stroke: A randomised controlled (RC) feasibility study.

When Seeds Speak (2024)
Exhibition / Performance

When Seeds Speak is a collaborative project with artist Miranda Whall that explores creative potentials within a dataset derived from the metabolic fingerprint analysis of six black oat seeds. The project seeks to uncover the processes and history ar... Read More about When Seeds Speak.

Fractional-order memristive dynamics in colloidal graphitic carbon nitride systems (2024)
Journal Article

We report on the synthesis and characterization of a colloidal graphitic carbon nitride (g-C3⁢N4) system exhibiting complex memfractance behavior. The g-C3⁢N4 colloid was prepared through thermal polymerization of urea, followed by dispersion in deio... Read More about Fractional-order memristive dynamics in colloidal graphitic carbon nitride systems.

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.

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.

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.

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.