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Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis (2021)
Journal Article
Ferrag, M. A., Friha, O., Maglaras, L., Janicke, H., & Shu, L. (2021). Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis. IEEE Access, 9, 138509-138542. https://doi.org/10.1109/access.2

In this article, we present a comprehensive study with an experimental analysis of federated deep learning approaches for cyber security in the Internet of Things (IoT) applications. Specifically, we first provide a review of the federated learning-b... Read More about Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis.

A Blockchain Framework in Post-Quantum Decentralization (2021)
Journal Article
Saha, R., Kumar, G., Devgun, T., Buchanan, W., Thomas, R., Alazab, M., Kim, T., & Rodrigues, J. (2023). A Blockchain Framework in Post-Quantum Decentralization. IEEE Transactions on Services Computing, 16(1), https://doi.org/10.1109/tsc.2021.3116896

The decentralization and transparency have provided wide acceptance of blockchain technology in various sectors through numerous applications. The claimed security services by blockchain have been proved using various cryptographic techniques, mainly... Read More about A Blockchain Framework in Post-Quantum Decentralization.

A Mamdani Type Fuzzy Inference System to Calculate Employee Susceptibility to Phishing Attacks (2021)
Journal Article
Lambat, Y., Ayres, N., Maglaras, L., & Ferrag, M. A. (2021). A Mamdani Type Fuzzy Inference System to Calculate Employee Susceptibility to Phishing Attacks. Applied Sciences, 11(19), Article 9083. https://doi.org/10.3390/app11199083

It is a well known fact that the weakest link in a cyber secure system is the people who configure, manage or use it. Security breaches are persistently being attributed to human error. Social engineered based attacks are becoming more sophisticated... Read More about A Mamdani Type Fuzzy Inference System to Calculate Employee Susceptibility to Phishing Attacks.

Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap (2021)
Journal Article
Litrico, M., Battiato, S., Tsaftaris, S. A., & Giuffrida, M. V. (2021). Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap. Journal of Imaging, 7(10), Article 198. https://doi.org/10.3390/jimaging7100198

This paper proposes a novel approach for semi-supervised domain adaptation for holistic regression tasks, where a DNN predicts a continuous value y∈R given an input image x. The current literature generally lacks specific domain adaptation approaches... Read More about Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap.

Artificial Eyes with Emotion and Light Responsive Pupils for Realistic Humanoid Robots (2021)
Journal Article
Strathearn, C. (2021). Artificial Eyes with Emotion and Light Responsive Pupils for Realistic Humanoid Robots. Informatics, 8(4), Article 64. https://doi.org/10.3390/informatics8040064

This study employs a novel 3D engineered robotic eye system with dielectric elastomer actuator (DEA) pupils and a 3D sculpted and colourised gelatin iris membrane to replicate the appearance and materiality of the human eye. A camera system for facia... Read More about Artificial Eyes with Emotion and Light Responsive Pupils for Realistic Humanoid Robots.

Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model (2021)
Journal Article
Rabhi, B., Elbaati, A., Boubaker, H., Hamdi, Y., Hussain, A., & Alimi, A. M. (2021). Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model. Memetic Computing, 13, Article 459-475. htt

Online signals are rich in dynamic features such as trajectory chronology, velocity, pressure and pen up/down movements. Their offline counterparts consist of a set of pixels. Thus, online handwriting recognition accuracy is generally better than off... Read More about Multi-lingual character handwriting framework based on an integrated deep learning based sequence-to-sequence attention model.

Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living (2021)
Journal Article
Saeed, U., Shah, S. Y., Shah, S. A., Ahmad, J., Alotaibi, A. A., Althobaiti, T., …Abbasi, Q. H. (2021). Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living. E

Human activity monitoring is essential for a variety of applications in many fields, particularly healthcare. The goal of this research work is to develop a system that can effectively detect fall/collapse and classify other discrete daily living act... Read More about Discrete Human Activity Recognition and Fall Detection by Combining FMCW RADAR Data of Heterogeneous Environments for Independent Assistive Living.

Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia (2021)
Journal Article
Almomani, I., Ahmed, M., & Maglaras, L. (2021). Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia. PeerJ Computer Science, 7, Article e703. https://doi.org/10.7717/peerj-cs.703

The Saudi Arabia government has proposed different frameworks such as the CITC’s Cybersecurity Regulatory Framework (CRF) and the NCA’s Essential Cybersecurity Controls (ECC) to ensure data and infrastructure security in all IT-based systems. However... Read More about Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia.

A novel few-shot learning method for synthetic aperture radar image recognition (2021)
Journal Article
Yue, Z., Gao, F., Xiong, Q., Sun, J., Hussain, A., & Zhou, H. (2021). A novel few-shot learning method for synthetic aperture radar image recognition. Neurocomputing, 465, 215-227. https://doi.org/10.1016/j.neucom.2021.09.009

Synthetic aperture radar (SAR) image recognition is an important stage of SAR image interpretation. The standard convolutional neural network (CNN) has been successfully applied in the SAR image recognition due to its powerful feature extraction capa... Read More about A novel few-shot learning method for synthetic aperture radar image recognition.

Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks (2021)
Journal Article
Alissa, M., Lones, M. A., Cosgrove, J., Alty, J. E., Jamieson, S., Smith, S. L., & Vallejo, M. (2022). Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Computing and Applications, 34, 1433-1453. https://

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that causes abnormal movements and an array of other symptoms. An accurate PD diagnosis can be a challenging task as the signs and symptoms, particularly at an early stage, can be s... Read More about Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks.

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/10.3260

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 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. (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.

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

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.

RF Jamming Classification Using Relative Speed Estimation in Vehicular Wireless Networks (2021)
Journal Article
Kosmanos, D., Karagiannis, D., Argyriou, A., Lalis, S., & Maglaras, L. (2021). RF Jamming Classification Using Relative Speed Estimation in Vehicular Wireless Networks. Security and Communication Networks, 2021, Article 9959310. https://doi.org/10.1155/20

Wireless communications are vulnerable against radio frequency (RF) interference which might be caused either intentionally or unintentionally. A particular subset of wireless networks, Vehicular Ad-hoc NETworks (VANET), which incorporate a series of... Read More about RF Jamming Classification Using Relative Speed Estimation in Vehicular Wireless Networks.

RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction (2021)
Journal Article
Zhu, L., Liu, Q., Liu, X., & Zhang, Y. (2021). RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction. EURASIP Journal on Wireless Communications and Networking, 2021, Article 171 (2021). https://doi.org/10.1186/s13638-021-02044

For the purpose of exploring the long-term variation of regional sea surface temperature (SST), this paper studies the historical SST in regional sea areas and the emission pattern of greenhouse gases, proposing a Grey model of regional SST atmospher... Read More about RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction.

Simulation study for a switchable adaptive polymer dispersed liquid crystal smart window for two climate zones (Riyadh and London) (2021)
Journal Article
Hemaida, A., Ghosh, A., Sundaram, S., & Mallick, T. K. (2021). Simulation study for a switchable adaptive polymer dispersed liquid crystal smart window for two climate zones (Riyadh and London). Energy and Buildings, 251, Article 111381. https://doi.org/1

Polymer dispersed liquid crystal (PDLC) is an electrically switchable smart window, that can provide privacy and control solar radiation, resulting in a potential energy saving. The optical properties of the PDLC window can be altered from translucen... Read More about Simulation study for a switchable adaptive polymer dispersed liquid crystal smart window for two climate zones (Riyadh and London).