A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things
Conference Proceeding
Momand, A., Jan, S. U., & Ramzan, N. (2024)
A Hybrid Deep Learning Scheme for Intrusion Detection in the Internet of Things. In Intelligent Systems and Pattern Recognition: Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11–13, 2023, Revised Selected Papers, Part II (277-287). https://doi.org/10.1007/978-3-031-46338-9_21
The Internet of Things (IoT) is the connection of smart devices and objects to the internet, allowing them to share and analyze data, communicate with each other, and be contr...
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions
Journal Article
Sai, S., Mittal, U., Chamola, V., Huang, K., Spinelli, I., Scardapane, S., …Hussain, A. (2024)
Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation, 16, 482-506. https://doi.org/10.1007/s12559-023-10219-3
ML applications proliferate across various sectors. Large internet firms employ ML to train intelligent models using vast datasets, including sensitive user information. Howev...
Developing a new scale for measuring sustainability-oriented innovation
Journal Article
Baxter, D., & Chipulu, M. (2023)
Developing a new scale for measuring sustainability-oriented innovation. Journal of Cleaner Production, 429, Article 139590. https://doi.org/10.1016/j.jclepro.2023.139590
Sustainability-oriented innovation is a developing area in the academic literature, and existing measurement models are either lacking in scope or they have not been validated...
Optimal controller selection and migration in large scale software defined networks for next generation internet of things
Journal Article
Shahzad, M., Liu, L., Belkout, N., & Antonopoulos, N. (2023)
Optimal controller selection and migration in large scale software defined networks for next generation internet of things. SN Applied Sciences, 5(12), Article 309. https://doi.org/10.1007/s42452-023-05535-0
The substantial amount of IoT traffic, coupled with control messages, places a heavy burden on SDN controllers, which compromises their capacity. We investigate how SDN can re...
Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction
Journal Article
Aziz, A., Hossain, M. A., Chy, A. N., Ullah, M. Z., & Aono, M. (2023)
Leveraging contextual representations with BiLSTM-based regressor for lexical complexity prediction. Natural Language Processing Journal, 5, Article 100039. https://doi.org/10.1016/j.nlp.2023.100039
Lexical complexity prediction (LCP) determines the complexity level of words or phrases in a sentence. LCP has a significant impact on the enhancement of language translations...
How fast is fast enough? Academic behavioural science impacting public health policy and practice
Journal Article
Hubbard, G., Allison, T., Beattie, M., Chandler, J., Dixon, D., Dryden, J., …den Daas, C. (2023)
How fast is fast enough? Academic behavioural science impacting public health policy and practice. Public Health, 225, e1-e2. https://doi.org/10.1016/j.puhe.2023.09.009
A spectrum of geoscience communication: from dissemination to participation
Journal Article
Illingworth, S. (2023)
A spectrum of geoscience communication: from dissemination to participation. Geoscience Communication, 6(4), 131-139. https://doi.org/10.5194/gc-6-131-2023
This review article is a written contribution to accompany the 2023 Katia and Maurice Krafft Award from the European Geosciences Union. Through a consideration of my own pract...
The International Grief Questionnaire (IGQ): A new measure of ICD‐11 prolonged grief disorder
Journal Article
Hyland, P., Redican, E., Karatzias, T., & Shevlin, M. (2024)
The International Grief Questionnaire (IGQ): A new measure of ICD‐11 prolonged grief disorder. Journal of Traumatic Stress, 37(1), 141-153. https://doi.org/10.1002/jts.22986
Prolonged grief disorder (PGD) is included in the 11th version of the International Statistical Classification of Diseases and Related Health Problems (ICD‐11). This study sou...
AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks
Journal Article
Ali, S., Tan, S. C., Lee, C. K., Yusoff, Z., Haque, M. R., Mylonas, A., & Pitropakis, N. (2023)
AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks. Sensors, 23(21), Article 8922. https://doi.org/10.3390/s23218922
Software-Defined Networking (SDN), which is used in Industrial Internet of Things, uses a controller as its “network brain” located at the control plane. This uniquely disting...
Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities
Journal Article
Tallat,, R., Hawbani, A., Wang, X., Al-Dubai, A., Zhao, L., Liu, Z., …Alsamhi, S. (in press)
Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities. Communications Surveys and Tutorials, IEEE Communications Society, https://doi.org/10.1109/comst.2023.3329472
This century has been a major avenue for revolutionary changes in technology and industry. Industries have transitioned towards intelligent automation, relying less on human i...