Transfer learning-based method for detection of COVID-19 using X-Ray Images
Conference Proceeding
Rehman, A., Tariq, Z., Jan, S. U., Aziz, S., Khan, M. U., & Chaudry, H. N. (2021)
Transfer learning-based method for detection of COVID-19 using X-Ray Images. In 2021 International Conference on Robotics and Automation in Industry (ICRAI). https://doi.org/10.1109/icrai54018.2021.9651463
In this paper, we have performed transfer learning using different pre-trained convolutional neural networks for binary classification of X-ray images into COVID-19 disease an...
A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT
Journal Article
Almas Khan, M., Khan, M. A., Ullah Jan, S., Ahmad, J., Jamal, S. S., Shah, A. A., …Markakis, E. K. (2021)
A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT. Sensors, 21(21), Article 7016. https://doi.org/10.3390/s21217016
A large number of smart devices in Internet of Things (IoT) environments communicate via different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely ...
A Review and Comparison of the State-of-the-Art Techniques for Atrial Fibrillation Detection and Skin Hydration
Journal Article
Liaqat, S., Dashtipour, K., Zahid, A., Arshad, K., Ullah Jan, S., Assaleh, K., & Ramzan, N. (2021)
A Review and Comparison of the State-of-the-Art Techniques for Atrial Fibrillation Detection and Skin Hydration. Frontiers in Communications and Networks, 2, Article 679502. https://doi.org/10.3389/frcmn.2021.679502
Atrial fibrillation (AF) is one of the most common types of cardiac arrhythmia, with a prevalence of 1–2% in the community, increasing the risk of stroke and myocardial infarc...
A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations
Journal Article
Masood, F., Driss, M., Boulila, W., Ahmad, J., ur Rehman, S., Jan, S. U., …Buchanan, W. J. (2022)
A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations. Wireless Personal Communications, 127, 1405-1432. https://doi.org/10.1007/s11277-021-08584-z
Medical images possess significant importance in diagnostics when it comes to healthcare systems. These images contain confidential and sensitive information such as patients’...
CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning
Journal Article
Saeed, U., Lee, Y., Jan, S. U., & Koo, I. (2021)
CAFD: Context-Aware Fault Diagnostic Scheme towards Sensor Faults Utilizing Machine Learning. Sensors, 21(2), Article 617. https://doi.org/10.3390/s21020617
Sensors’ existence as a key component of Cyber-Physical Systems makes it susceptible to failures due to complex environments, low-quality production, and aging. When defective...
Fault diagnosis based on extremely randomized trees in wireless sensor networks
Journal Article
Saeed, U., Jan, S. U., Lee, Y., & Koo, I. (2021)
Fault diagnosis based on extremely randomized trees in wireless sensor networks. Reliability Engineering and System Safety, 205, Article 107284. https://doi.org/10.1016/j.ress.2020.107284
Wireless Sensor Network (WSN) being highly diversified cyber–physical system makes it vulnerable to numerous failures, which can cause devastation towards safety, economy, and...
A distributed sensor-fault detection and diagnosis framework using machine learning
Journal Article
Jan, S. U., Lee, Y. D., & Koo, I. S. (2021)
A distributed sensor-fault detection and diagnosis framework using machine learning. Information Sciences, 547, 777-796. https://doi.org/10.1016/j.ins.2020.08.068
The objective of this work is to design a sensor-fault detection and diagnosis system for the Internet of Things and Cyber-Physical Systems. The challenge is, however, achievi...
Machine Learning-based Real-Time Sensor Drift Fault Detection using Raspberry Pi
Conference Proceeding
Saeed, U., Ullah Jan, S., Lee, Y., & Koo, I. (2020)
Machine Learning-based Real-Time Sensor Drift Fault Detection using Raspberry Pi. In 2020 International Conference on Electronics, Information, and Communication (ICEIC). https://doi.org/10.1109/iceic49074.2020.9102342
From smart industries to smart cities, sensors in the modern world plays an important role by covering a large number of applications. However, sensors get faulty sometimes le...
Machine Learning for Detecting Drift Fault of Sensors in Cyber-Physical Systems
Conference Proceeding
Jan, S. U., Saeed, U., & Koo, I. (2020)
Machine Learning for Detecting Drift Fault of Sensors in Cyber-Physical Systems. In 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST). https://doi.org/10.1109/ibcast47879.2020.9044498
Cyber-Physical System (CPS) emerges as a potential direction to improve the applications relating to object-to-object, human-to-human and human-to-object communications in bot...
On Lightweight Method for Intrusions Detection in the Internet of Things
Conference Proceeding
Shakhov, V., Jan, S. U., Ahmed, S., & Koo, I. (2019)
On Lightweight Method for Intrusions Detection in the Internet of Things. In 2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). https://doi.org/10.1109/blackseacom.2019.8812813
Integration of the internet into the entities of the different domains of human society is emerging as a new paradigm called the Internet of Things. At the same time, the ubiq...