All Outputs (92)

Extending the scope of configuration management for the development and life cycle support of systems of systems - An ontology‐driven framework applied to the Enceladus Submarine Exploration Lander (2020)
Journal Article
Kossmann, M., Samhan, A., Odeh, M., Qaddoumi, E., Tbakhi, A., & Watts, S. (2020). Extending the scope of configuration management for the development and life cycle support of systems of systems - An ontology‐driven framework applied to the Enceladus Submarine Exploration Lander. Systems Engineering, 23(3), 366-391. https://doi.org/10.1002/sys.21532

Increasingly complex systems of systems (SoS) have to be developed in ever shorter times-to-market at reduced costs and with high reliability. In addition, as the life cycle of such SoS frequently spans across several decades, customer expectations a... Read More about Extending the scope of configuration management for the development and life cycle support of systems of systems - An ontology‐driven framework applied to the Enceladus Submarine Exploration Lander.

Proposing a rank and wormhole attack detection framework using machine learning (2020)
Conference Proceeding
Fatima-tuz-Zahra, Jhanjhi, N. Z., Brohi, S., & Malik, N. A. (2020). Proposing a rank and wormhole attack detection framework using machine learning. In 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS). https://doi.org/10.1109/MACS48846.2019.9024821

Internet of Things (IoT) is a paradigm in digital technology which is prevalently revolutionizing various sectors like healthcare, military, business and more. However, the incremental deployment of this advanced technology has also caused critical s... Read More about Proposing a rank and wormhole attack detection framework using machine learning.

Self-generated intent-based system (2020)
Conference Proceeding
Behazaf, M., Perez Hernandez, M., Bardwell, L., Davies, E., Broadbent, M., King, D., & Hutchison, D. (2020). Self-generated intent-based system. In 2019 10th International Conference on Networks of the Future (NoF) (138-140). https://doi.org/10.1109/NoF47743.2019.9015045

We propose an intent-based system where, on top of the user intentions, the system itself generates suitable Quality of Service and resilience parameters and may augment the intent characteristics if it detects any room for improvement. We demonstrat... Read More about Self-generated intent-based system.

Detection of phishing websites using generative adversarial network (2020)
Conference Proceeding
Robic-Butez, P., & Win, T. Y. (in press). Detection of phishing websites using generative adversarial network. In 2019 IEEE International Conference on Big Data (Big Data) (3216-3221)

The MusicBox - Drake Music (2020)
Presentation / Conference
Meckin, D. (2020, February). The MusicBox - Drake Music. Poster presented at Drake Music Conference 2020

The MusicBox is a prototype Accessible Digital Musical Instrument (ADMI) developed during a series of co-creative musical workshops with leaders and musicians of the Electric Storm Ensemble, facilitated by Drake Music. It comprises of two physical... Read More about The MusicBox - Drake Music.

QoE-based mobility-aware collaborative video streaming on the edge of 5G (2020)
Journal Article
Tuysuz, M. F., & Aydin, M. E. (2020). QoE-based mobility-aware collaborative video streaming on the edge of 5G. IEEE Transactions on Industrial Informatics, 16(11), 7115-7125. https://doi.org/10.1109/tii.2020.2972931

Today's Internet traffic is dominated by video streaming applications transmitted through wireless/cellular interfaces of mobile devices. Although ultrahigh-definition videos are now easily transmitted through mobile devices, video quality level that... Read More about QoE-based mobility-aware collaborative video streaming on the edge of 5G.

Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks (2020)
Journal Article
Ul Abideen, Z., Ghafoor, M., Munir, K., Saqib, M., Ullah, A., Zia, T., …Zahra, A. (2020). Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks. IEEE Access, 8, 22812-22825. https://doi.org/10.1109/access.2020.2970023

Tuberculosis (TB) is an infectious disease that can lead towards death if left untreated. TB detection involves extraction of complex TB manifestation features such as lung cavity, air space consolidation, endobronchial spread, and pleural effusions... Read More about Uncertainty assisted robust tuberculosis identification with Bayesian convolutional neural networks.

Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods (2020)
Journal Article
Caleb-Solly, P., Gupta, P., & McClatchey, R. (2020). Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods. Neural Computing and Applications, 32(16), 12351 - 12362. https://doi.org/10.1007/s00521-020-04737-6

© 2020, The Author(s). This paper investigates the utility of unsupervised machine learning and data visualisation for tracking changes in user activity over time. This is done through analysing unlabelled data generated from passive and ambient smar... Read More about Tracking changes in user activity from unlabelled smart home sensor data using unsupervised learning methods.

Formal verification of a hybrid machine learning-based fault prediction model in Internet of Things applications (2020)
Journal Article
Souri, A., Mohammed, A. S., Yousif Potrus, M., Malik, M. H., Safara, F., & Hosseinzadeh, M. (2020). Formal verification of a hybrid machine learning-based fault prediction model in Internet of Things applications. IEEE Access, 8, 23863-23874. https://doi.org/10.1109/ACCESS.2020.2967629

By increasing the complexity of the Internet of Things (IoT) applications, fault prediction become an important challenge in interactions between human, and smart devices. Fault prediction is one of the key factors to achieve better arranging the IoT... Read More about Formal verification of a hybrid machine learning-based fault prediction model in Internet of Things applications.

A three-level ransomware detection and prevention mechanism (2020)
Journal Article
Ren, A., Liang, C., Hyug, I. J., Brohi, S. N., & Jhanjhi, N. Z. (2020). A three-level ransomware detection and prevention mechanism. EAI Endorsed Transactions on Energy Web, 7(26), 162691. https://doi.org/10.4108/eai.13-7-2018.162691

Ransomware encrypts victim's files or locks users out of the system. Victims will have to pay the attacker a ransom to decrypt and regain access to the user files. Petya targets individuals and companies through email attachments and download links.... Read More about A three-level ransomware detection and prevention mechanism.

A quantum algorithm for ray casting using an orthographic camera (2020)
Conference Proceeding
Alves, C., Santos, L. P., & Bashford-Rogers, T. (2020). A quantum algorithm for ray casting using an orthographic camera. . https://doi.org/10.1109/ICGI47575.2019.8955061

Quantum computing has the potential to provide solutions to many problems which are challenging or out of reach of classical computers. There are several problems in rendering which are amenable to being solved in quantum computers, but these have ye... Read More about A quantum algorithm for ray casting using an orthographic camera.

A data tracking and monitoring mechanism (2020)
Book Chapter
Lika, R. A., Ramasamy, D. A. V., Murugiah, D. A., & Brohi, S. N. (2020). A data tracking and monitoring mechanism. In S. Peng, L. H. Son, G. Suseendran, & D. Balaganesh (Eds.), Lecture Notes in Networks and Systems book series (LNNS,volume 118) (773-781). Springer. https://doi.org/10.1007/978-981-15-3284-9_89

There is a rising trend among companies to collect data including personally identifiable information (PII) from service users. An individual’s privacy can be violated when his/her PII is accumulated, utilized or divulged. Users of the technology are... Read More about A data tracking and monitoring mechanism.