Outputs (267)

Classification of Citrus Plant Diseases Using Deep Transfer Learning (2021)
Journal Article
Zia Ur Rehman, M., Ahmed, F., Attique Khan, M., Tariq, U., Shaukat Jamal, S., Ahmad, J., & Hussain, I. (2022). Classification of Citrus Plant Diseases Using Deep Transfer Learning. Computers, Materials & Continua, 70(1), 1401-1417. https://doi.org/10.32604/cmc.2022.019046

In recent years, the field of deep learning has played an important role towards automatic detection and classification of diseases in vegetables and fruits. This in turn has helped in improving the quality and production of vegetables and fruits. Ci... Read More about Classification of Citrus Plant Diseases Using Deep Transfer Learning.

A Decentralised Authentication and Access Control Mechanism for Medical Wearable Sensors Data (2021)
Presentation / Conference Contribution
Abubakar, M., Jaroucheh, Z., Al Dubai, A., & Buchanan, W. J. (2021, August). A Decentralised Authentication and Access Control Mechanism for Medical Wearable Sensors Data. Presented at 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), Barcelona, Spain

Recent years have seen an increase in medical big data, which can be attributed to a paradigm shift experienced in medical data sharing induced by the growth of medical technology and the Internet of Things. The evidence of this potential has been pr... Read More about A Decentralised Authentication and Access Control Mechanism for Medical Wearable Sensors Data.

Launching Adversarial Label Contamination Attacks Against Malicious URL Detection (2021)
Presentation / Conference Contribution
Marchand, B., Pitropakis, N., Buchanan, W. J., & Lambrinoudakis, C. (2021, September). Launching Adversarial Label Contamination Attacks Against Malicious URL Detection. Presented at TrustBus 2021: Trust, Privacy and Security in Digital Business, Online

Web addresses, or Uniform Resource Locators (URLs), represent a vector by which attackers are able to deliver a multitude of unwanted and potentially harmful effects to users through malicious software. The ability to detect and block access to such... Read More about Launching Adversarial Label Contamination Attacks Against Malicious URL Detection.

Efficient algorithms for MAC layer duty cycling and frame delivery in wireless sensor network (2021)
Thesis
Thomson, C. J. Efficient algorithms for MAC layer duty cycling and frame delivery in wireless sensor network. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2850793

In Wireless Sensor Networks, with small, limited capacity devices now more prevalent, the issue of Neighbour Discovery has shifted. These devices utilise duty cycling methods in order to conserve battery power. Hence, the main issue is now that these... Read More about Efficient algorithms for MAC layer duty cycling and frame delivery in wireless sensor network.

A Secure Random Number Generator with Immunity and Propagation Characteristics for Cryptography Functions (2021)
Journal Article
Saha, R., Geetha, G., Kumar, G., Buchanan, W. J., & Kim, T.-H. (2021). A Secure Random Number Generator with Immunity and Propagation Characteristics for Cryptography Functions. Applied Sciences, 11(17), Article 8073. https://doi.org/10.3390/app11178073

Cryptographic algorithms and functions should possess some of the important functional requirements such as: non-linearity, resiliency, propagation and immunity. Several previous studies were executed to analyze these characteristics of the cryptogra... Read More about A Secure Random Number Generator with Immunity and Propagation Characteristics for Cryptography Functions.

OTTers: One-turn Topic Transitions for Open-Domain Dialogue (2021)
Presentation / Conference Contribution
Sevegnani, K., Howcroft, D. M., Konstas, I., & Rieser, V. (2021, August). OTTers: One-turn Topic Transitions for Open-Domain Dialogue. Presented at 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online

Mixed initiative in open-domain dialogue requires a system to pro-actively introduce new topics. The one-turn topic transition task explores how a system connects two topics in a cooperative and coherent manner. The goal of the task is to generate a... Read More about OTTers: One-turn Topic Transitions for Open-Domain Dialogue.

Towards a Declarative Approach to Constructing Dialogue Games (2021)
Presentation / Conference Contribution
Snaith, M., & Wells, S. (2021, September). Towards a Declarative Approach to Constructing Dialogue Games. Presented at CMNA’21: Workshop on Computational Models of Natural Argument, Online

In this paper we sketch a new approach to the development of dialogue games that builds upon the knowledge gained from several decades of dialogue game research across a variety of communities and which leverages the capabilities of the Dialogue Game... Read More about Towards a Declarative Approach to Constructing Dialogue Games.

A New Ensemble-Based Intrusion Detection System for Internet of Things (2021)
Journal Article
Abbas, A., Khan, M. A., Latif, S., Ajaz, M., Shah, A. A., & Ahmad, J. (2022). A New Ensemble-Based Intrusion Detection System for Internet of Things. Arabian Journal for Science and Engineering, 47, 1805-1819. https://doi.org/10.1007/s13369-021-06086-5

The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few years by drastically transforming human lives to automate their ordinary daily tasks. This is achieved by interconnecting heterogeneous physical devices with... Read More about A New Ensemble-Based Intrusion Detection System for Internet of Things.

Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset (2021)
Journal Article
Umair, M., Khan, M. S., Ahmed, F., Baothman, F., Alqahtani, F., Alian, M., & Ahmad, J. (2021). Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset. Sensors, 21(17), Article 5813. https://doi.org/10.3390/s21175813

The COVID-19 outbreak began in December 2019 and has dreadfully affected our lives since then. More than three million lives have been engulfed by this newest member of the corona virus family. With the emergence of continuously mutating variants of... Read More about Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset.

Intrusion Detection in Critical Infrastructures: A Literature Review (2021)
Journal Article
Panagiotis, F., Taxiarxchis, K., Georgios, K., Maglaras, L., & Ferrag, M. A. (2021). Intrusion Detection in Critical Infrastructures: A Literature Review. Smart Cities, 4(3), 1146-1157. https://doi.org/10.3390/smartcities4030061

Over the years, the digitization of all aspects of life in modern societies is considered an acquired advantage. However, like the terrestrial world, the digital world is not perfect and many dangers and threats are present. In the present work, we c... Read More about Intrusion Detection in Critical Infrastructures: A Literature Review.