Outputs (4109)

Investigating Machine Learning Attacks on Financial Time Series Models (2022)
Journal Article
Gallagher, M., Pitropakis, N., Chrysoulas, C., Papadopoulos, P., Mylonas, A., & Katsikas, S. (2022). Investigating Machine Learning Attacks on Financial Time Series Models. Computers and Security, 123, https://doi.org/10.1016/j.cose.2022.102933

Machine learning and Artificial Intelligence (AI) already support human decision-making and complement professional roles, and are expected in the future to be sufficiently trusted to make autonomous decisions. To trust AI systems with such tasks, a... Read More about Investigating Machine Learning Attacks on Financial Time Series Models.

Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform (2022)
Journal Article
Ali, H., Ahmad, J., Jaroucheh, Z., Papadopoulos, P., Pitropakis, N., Lo, O., Abramson, W., & Buchanan, W. J. (2022). Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform. Entropy, 24(10), Article 1379. https://doi.org/10.3390/e24101379

Historically, threat information sharing has relied on manual modelling and centralised network systems, which can be inefficient, insecure, and prone to errors. Alternatively, private blockchains are now widely used to address these issues and impro... Read More about Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform.

An enduring in vitro wound healing phase recipient by bioactive glass-graphene oxide nanocomposites (2022)
Journal Article
Nandhakumar, M., Thangaian, D. T., Sundaram, S., Roy, A., & Subramanian, B. (2022). An enduring in vitro wound healing phase recipient by bioactive glass-graphene oxide nanocomposites. Scientific Reports, 12(1), Article 16162. https://doi.org/10.1038/s41598-022-20575-z

Bioactive glass (BG) is an interesting topic in soft tissue engineering because of its biocompatibility and bonding potential to increase fibroblast cell proliferation, synthesize growth factors, and stimulate granulation tissue development. The prop... Read More about An enduring in vitro wound healing phase recipient by bioactive glass-graphene oxide nanocomposites.

IoT for Sustainability (2022)
Book Chapter
Davison, B. (2022). IoT for Sustainability. In R. Buyya, L. Garg, G. Fortino, & S. Misra (Eds.), New Frontiers in Cloud Computing and Internet of Things (253-286). Springer. https://doi.org/10.1007/978-3-031-05528-7_10

The Internet of Things (IoT) comprises a set of complementary technologies which offer unprecedented opportunities for interacting with the physical environment. Faced with multiple pressures on our physical wellbeing such as climate change, habitat... Read More about IoT for Sustainability.

Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures (2022)
Presentation / Conference Contribution
Zheng, C., Zhen, C., Xie, H., & Yang, S. (2022, June). Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures. Presented at 2022 IEEE Conference on Dependable and Secure Computing (DSC), Edinburgh, United Kingdom

Reinforcement Learning (RL) is one of the most popular methods for solving complex sequential decision-making problems. Deep RL needs careful sensing of the environment, selecting algorithms as well as hyper-parameters via soft agents, and simultaneo... Read More about Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures.

Detection of Ethanol Concentration in Liquid Using a Double-Layered Resonator Operating at 5G-mm-Wave Frequencies (2022)
Journal Article
Qureshi, S. A., Abidin, Z. Z., Majid, H. A., Ashyap, A. Y. I., & See, C. H. (2022). Detection of Ethanol Concentration in Liquid Using a Double-Layered Resonator Operating at 5G-mm-Wave Frequencies. Journal of Electronic Materials, 51, 7028-7036. https://doi.org/10.1007/s11664-022-09932-w

A new sensing technique for rapidly detecting ethanol concentration in aqueous solutions based on electromagnetic resonance is discussed. The sensor has two substrate layers and operates at 5G-mm-wave frequencies. An experimental study of the new res... Read More about Detection of Ethanol Concentration in Liquid Using a Double-Layered Resonator Operating at 5G-mm-Wave Frequencies.

A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling (2022)
Presentation / Conference Contribution
Turnbull, L., Tan, Z., & Babaagba, K. (2022, June). A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling. Presented at The 2022 5th IEEE Conference on Dependable and Secure Computing (IEEE DSC 2022), Edinburgh [Online]

Malicious software trends show a persistent yearly increase in volume and cost impact. More than 350,000 new malicious or unwanted programs that target various technologies were registered daily over the past year. Metamorphic malware is a specifical... Read More about A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling.

Comprehensive review on the feasibility of developing wave energy as a renewable energy resource in Australia (2022)
Journal Article
Wimalaratna, Y. P., Hassan, A., Afrouzi, H. N., Mehranzamir, K., Ahmed, J., Siddique, B. M., & Liew, S. C. (2022). Comprehensive review on the feasibility of developing wave energy as a renewable energy resource in Australia. Cleaner Energy Systems, 3, Article 100021. https://doi.org/10.1016/j.cles.2022.100021

The facts are that increasing energy demand, depletion of fossil fuel, and greenhouse gas emissions have increased the world's interest in renewable energy. Out of all RE options, Wave Energy (WE) is the least harnessed one despite the availability o... Read More about Comprehensive review on the feasibility of developing wave energy as a renewable energy resource in Australia.

An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with Athos (2022)
Journal Article
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2022). An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with Athos. Empirical Software Engineering, 27(7), Article 180. https://doi.org/10.1007/s10664-022-10210-w

Domain-specific languages (DSLs) are a popular approach among software engineers who demand for a tailored development interface. A DSL-based approach allows to encapsulate the intricacies of the target platform in transformations that turn DSL model... Read More about An empirical evaluation of a novel domain-specific language – modelling vehicle routing problems with Athos.

Sign in Human-Sound Interaction (2022)
Book Chapter
Di Donato, B. (2022). Sign in Human-Sound Interaction. In J. L. Drever, & A. Hugill (Eds.), Aural Diversity (187-192). Routledge. https://doi.org/10.4324/9781003183624-21

This chapter explores the concept of Human–Sound Interaction (HSI) in music performance in the context of Aural Diversity. HSI focuses on human factors in experiencing sound and how this affects interaction with instruments. HSI looks at people’s div... Read More about Sign in Human-Sound Interaction.