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All Outputs (92)

Investigating anti-evasion malware triggers using automated sandbox reconfiguration techniques (2020)
Journal Article
Mills, A., & Legg, P. (2021). Investigating anti-evasion malware triggers using automated sandbox reconfiguration techniques. Journal of Cybersecurity and Privacy, 1(1), 19-39. https://doi.org/10.3390/jcp1010003

Malware analysis is fundamental for defending against prevalent cyber security threats and requires a means to deploy and study behavioural software traits as more sophisticated malware is developed. Traditionally, virtual machines are used to provid... Read More about Investigating anti-evasion malware triggers using automated sandbox reconfiguration techniques.

Deep learning vs. traditional solutions for group trajectory outliers (2020)
Journal Article
Belhadi, A., Djenouri, Y., Djenouri, D., Michalak, T., & Chun-Wei Lin, J. (2022). Deep learning vs. traditional solutions for group trajectory outliers. IEEE Transactions on Cybernetics, 52(6), 4508-4519. https://doi.org/10.1109/TCYB.2020.3029338

This article introduces a new model to identify a group of trajectory outliers from a large trajectory database and proposes several algorithms. These can be split into three categories: 1) algorithms based on data mining and knowledge discovery, whi... Read More about Deep learning vs. traditional solutions for group trajectory outliers.

Harnessing adaptive novelty for automated generation of cancer treatments (2020)
Journal Article
Balaz, I., Petrić, T., Kovacevic, M., Tsompanas, M. A., & Stillman, N. (2021). Harnessing adaptive novelty for automated generation of cancer treatments. BioSystems, 199, Article 104290. https://doi.org/10.1016/j.biosystems.2020.104290

© 2020 The Authors Nanoparticles have the potential to modulate both the pharmacokinetic and pharmacodynamic profiles of drugs, thereby enhancing their therapeutic effect. The versatility of nanoparticles allows for a wide range of customization poss... Read More about Harnessing adaptive novelty for automated generation of cancer treatments.

When the decomposition meets the constraint satisfaction problem (2020)
Journal Article
Djenouri, Y., Djenouri, D., Habbas, Z., Lin, J. C., Michalak, T. P., & Cano, A. (2020). When the decomposition meets the constraint satisfaction problem. IEEE Access, 8, 207034-207043. https://doi.org/10.1109/access.2020.3038228

This paper explores the joint use of decomposition methods and parallel computing for solving constraint satisfaction problems and introduces a framework called Parallel Decomposition for Constraint Satisfaction Problems (PD-CSP). The main idea is th... Read More about When the decomposition meets the constraint satisfaction problem.

Christian engagement with the UN Sustainable Development Goals (2020)
Presentation / Conference
Brooks, I. (2020, November). Christian engagement with the UN Sustainable Development Goals. Presented at Christian Rural and Environmental Studies, Online

Conference report on research into the state of Christian engagement with the United Nations Sustainable Development Goals (SDGs) (Focus on the UK). Reports on interviews with stakeholders and quantitative research using page counts on church web do... Read More about Christian engagement with the UN Sustainable Development Goals.

Towards the identification of antibiotic-resistant bacteria causing urinary tract infections using volatile organic compounds analysis—a pilot study (2020)
Journal Article
Hewett, K., Drabinska, N., White, P., Avison, M., Persad, R., Ratcliffe, N., & de Lacy Costello, B. (2020). Towards the identification of antibiotic-resistant bacteria causing urinary tract infections using volatile organic compounds analysis—a pilot study. Antibiotics, 9(11), 797. https://doi.org/10.3390/antibiotics9110797

Antibiotic resistance is an unprecedented threat to modern medicine. The analysis of volatile organic compounds (VOCs) from bacteria potentially offers a rapid way to determine antibiotic susceptibility in bacteria. This study aimed to find the optim... Read More about Towards the identification of antibiotic-resistant bacteria causing urinary tract infections using volatile organic compounds analysis—a pilot study.

Heatmaps for visual explainability of CNN-based predictions for multivariate time series with application to healthcare (2020)
Conference Proceeding
Viton, F., Elbattah, M., Guerin, J. L., & Dequen, G. (2020). Heatmaps for visual explainability of CNN-based predictions for multivariate time series with application to healthcare. In 2020 IEEE International Conference on Healthcare Informatics (ICHI)https://doi.org/10.1109/ICHI48887.2020.9374393

The need for explainable AI is becoming increasingly important for critical decision domains such as healthcare for example. In this context, this paper is concerned with explaining the predictions of Convolutional Neural Networks (CNNs) with particu... Read More about Heatmaps for visual explainability of CNN-based predictions for multivariate time series with application to healthcare.

Assessing a decision support tool for SOC analysts (2020)
Journal Article
Happa, J., Helmhout, M., Philips, R., Thomas Bashford-Rogers, N. L., Goldsmith, M., Creese, S., …Goldsmith, M. (in press). Assessing a decision support tool for SOC analysts. Digital Threats: Research and Practice, 9(4),

It is difficult to discern real-world consequences of attacks on an enterprise when investigating network-centric data alone. In recent years, many tools have been developed to help understand attacks using visualization, but few aim to predict real-... Read More about Assessing a decision support tool for SOC analysts.

A review of learning theories and models underpinning technology-enhanced learning artefacts (2020)
Journal Article
Hammad, R., Khan, Z., Safieddine, F., & Ahmed, A. (2020). A review of learning theories and models underpinning technology-enhanced learning artefacts. World Journal of Science, Technology and Sustainable Development, 17(4), 341-354. https://doi.org/10.1108/WJSTSD-06-2020-0062

Purpose – Various technology-enhanced learning software and tools exist where technology becomes the main driver for these developments at the expense of pedagogy. The literature reveals the missing balance between technology and pedagogy in the cont... Read More about A review of learning theories and models underpinning technology-enhanced learning artefacts.

Proposing a hybrid RPL protocol for rank and wormhole attack mitigation using machine learning (2020)
Conference Proceeding
Zahra, F., Jhanjhi, N. Z., Brohi, S., Malik, N. A., & Humayun, M. (2020). Proposing a hybrid RPL protocol for rank and wormhole attack mitigation using machine learning. In 2020 2nd International Conference on Computer and Information Sciences (ICCIS). https://doi.org/10.1109/ICCIS49240.2020.9257607

Internet of Things have profoundly transformed the way technology is deployed today in different domains of life. However, its widescale implementation has also caused major security concerns in context of data communication because of escalating int... Read More about Proposing a hybrid RPL protocol for rank and wormhole attack mitigation using machine learning.

COVID-19 Pandemic cybersecurity Issues (2020)
Journal Article
Pranggono, B., & Arabo, A. (2021). COVID-19 Pandemic cybersecurity Issues. Internet Technology Letters, 4(2), Article e247. https://doi.org/10.1002/itl2.247

This paper studies the cybersecurity issues that have occurred during the coronavirus (COVID-19) pandemic. During the pandemic, cyber criminals and Advanced Persistent Threat (APT) groups have taken advantage of targeting vulnerable people and system... Read More about COVID-19 Pandemic cybersecurity Issues.

Secure and communications-efficient collaborative prognosis (2020)
Journal Article
Dhada, M., Jain, A., Herrera, M., Hernandez, M. P., & Parlikad, A. (2020). Secure and communications-efficient collaborative prognosis. IET Collaborative Intelligent Manufacturing, 2(4), 164-173. https://doi.org/10.1049/iet-cim.2020.0035

Collaborative prognosis is a technique that is used to enable assets to improve their ability to predict failures by learning from the failures of similar other assets. This is typically made possible by enabling the assets to communicate with each o... Read More about Secure and communications-efficient collaborative prognosis.

Max-gain relay selection scheme for wireless networks (2020)
Journal Article
Ullah, S., Malik, M. H., Tuysuz, M. F., Hasnain, M., & Aydin, M. E. (2021). Max-gain relay selection scheme for wireless networks. International Journal of Engineering Science and Technology, 24(1), 183-191. https://doi.org/10.1016/j.jestch.2020.08.009

© 2020 Karabuk University Next generation wireless systems are supposed to handle high amount of data with broader coverage and high quality of service (QoS). When a signal travels from a source to destination, the signal quality may suffer from the... Read More about Max-gain relay selection scheme for wireless networks.

Preserving linguistic heritage for generations to come! (2020)
Presentation / Conference
Ogunshile, E., & Ramachandran, R. (2020, September). Preserving linguistic heritage for generations to come!. Paper presented at DiPP 2020 : Digital Presentation and Preservation of Cultural and Scientific Heritage, Burgas, Bulgaria

Speech to Text is the ability to convert spoken word to text. There are many speech to text con-version applications available for different languages. Tamil is an ancient classical language which is vastly spoken in southern parts of India, Sri Lank... Read More about Preserving linguistic heritage for generations to come!.

A two-phase anomaly detection model for secure intelligent transportation ride-hailing trajectories (2020)
Journal Article
Belhadi, A., Djenouri, Y., Srivastava, G., Djenouri, D., Cano, A., & Lin, J. C. W. (2021). A two-phase anomaly detection model for secure intelligent transportation ride-hailing trajectories. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4496-4506. https://doi.org/10.1109/tits.2020.3022612

This paper addresses the taxi fraud problem and introduces a new solution to identify trajectory outliers. The approach as presented allows to identify both individual and group outliers and is based on a two phase-based algorithm. The first phase de... Read More about A two-phase anomaly detection model for secure intelligent transportation ride-hailing trajectories.

Was that me?: Exploring the effects of error in gestural digital musical instruments (2020)
Conference Proceeding
Brown, D., Nash, C., & Mitchell, T. J. (2020). Was that me?: Exploring the effects of error in gestural digital musical instruments. In AM '20: Proceedings of the 15th International Conference on Audio Mostly (168-174). https://doi.org/10.1145/3411109.3411137

Traditional Western musical instruments have evolved to be robust and predictable, responding consistently to the same player actions with the same musical response. Consequently, errors occurring in a performance scenario are typically attributed to... Read More about Was that me?: Exploring the effects of error in gestural digital musical instruments.

Towards molecular musical instruments: Interactive sonifications of 17-alanine, graphene and carbon nanotubes (2020)
Conference Proceeding
Mitchell, T. J., Jones, A. J., O’Connor, M. B., Wonnacott, M. D., Glowacki, D. R., & Hyde, J. (2020). Towards molecular musical instruments: Interactive sonifications of 17-alanine, graphene and carbon nanotubes. In AM '20: Proceedings of the 15th International Conference on Audio Mostly (214-221). https://doi.org/10.1145/3411109.3411143

Scientists increasingly rely on computational models of atoms and molecules to observe, understand and make predictions about the microscopic world. Atoms and molecules are in constant motion, with vibrations and structural fluctuations occurring at... Read More about Towards molecular musical instruments: Interactive sonifications of 17-alanine, graphene and carbon nanotubes.

Exploring polyrhythms, polymeters, and polytempi with the universal grid sequencer framework (2020)
Conference Proceeding
Hunt, S. J. (2020). Exploring polyrhythms, polymeters, and polytempi with the universal grid sequencer framework. . https://doi.org/10.1145/3411109.3411122

© 2020 ACM. Polyrhythms, Polymeters, and Polytempo are compositional techniques that describe pulses which are desynchronous between two or more sequences of music. Digital systems permit the sequencing of notes to a near-infinite degree of resolutio... Read More about Exploring polyrhythms, polymeters, and polytempi with the universal grid sequencer framework.