Outputs (147)

Granular Data Access Control with a Patient-Centric Policy Update for Healthcare (2021)
Journal Article
Khan, F., Khan, S., Tahir, S., Ahmad, J., Tahir, H., & Shah, S. A. (2021). Granular Data Access Control with a Patient-Centric Policy Update for Healthcare. Sensors, 21(10), Article 3556. https://doi.org/10.3390/s21103556

Healthcare is a multi-actor environment that requires independent actors to have a different view of the same data, hence leading to different access rights. Ciphertext Policy-Attribute-based Encryption (CP-ABE) provides a one-to-many access control... Read More about Granular Data Access Control with a Patient-Centric Policy Update for Healthcare.

A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations (2021)
Journal Article
Masood, F., Driss, M., Boulila, W., Ahmad, J., ur Rehman, S., Jan, S. U., Qayyum, A., & Buchanan, W. J. (2022). A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations. Wireless Personal Communications, 127, 140

Medical images possess significant importance in diagnostics when it comes to healthcare systems. These images contain confidential and sensitive information such as patients’ X-rays, ultrasounds, computed tomography scans, brain images, and magnetic... Read More about A Lightweight Chaos-Based Medical Image Encryption Scheme Using Random Shuffling and XOR Operations.

Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions (2021)
Presentation / Conference Contribution
Sajjad, U., Arshad, Ahmad, J., & Shoaib, S. (2021). Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions. In 2021 IEEE Conference of Russian Young Researchers in Electrical and Electro

Safe and reliable delivery of power through transmission lines mainly depends on the quality condition of the high voltage insulators. In the last few decades, demand in polymeric insulator has been dramatically increased due to their advanced perfor... Read More about Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions.

A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things (2021)
Journal Article
Huma, Z. E., Latif, S., Ahmad, J., Idrees, Z., Ibrar, A., Zou, Z., …Baothman, F. (2021). A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things. IEEE Access, 9, 55595-55605. https://doi.org/10.1109/access.2021

The Industrial Internet of Things (IIoT) refers to the use of traditional Internet of Things (IoT) concepts in industrial sectors and applications. IIoT has several applications in smart homes, smart cities, smart grids, connected cars, and supply ch... Read More about A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things.

An experimental analysis of attack classification using machine learning in IoT networks (2021)
Journal Article
Churcher, A., Ullah, R., Ahmad, J., Ur Rehman, S., Masood, F., Gogate, M., Alqahtani, F., Nour, B., & Buchanan, W. J. (2021). An experimental analysis of attack classification using machine learning in IoT networks. Sensors, 21(2), Article 446. https://d

In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. The participating devices in IoT networks can be problematic due to their resource-constrained nature,... Read More about An experimental analysis of attack classification using machine learning in IoT networks.

Detecting the Security Level of Various Cryptosystems Using Machine Learning Models (2020)
Journal Article
Shafique, A., Ahmed, J., Boulila, W., Ghandorh, H., Ahmad, J., & Rehman, M. U. (2021). Detecting the Security Level of Various Cryptosystems Using Machine Learning Models. IEEE Access, 9, 9383-9393. https://doi.org/10.1109/access.2020.3046528

With recent advancements in multimedia technologies, the security of digital data has become a critical issue. To overcome the vulnerabilities of current security protocols, researchers tend to focus their efforts on modifying existing protocols. Ove... Read More about Detecting the Security Level of Various Cryptosystems Using Machine Learning Models.

A blockchain-based architecture for secure and trustworthy operations in the industrial Internet of Things (2020)
Journal Article
Latif, S., Idrees, Z., Ahmad, J., Zheng, L., & Zou, Z. (2021). A blockchain-based architecture for secure and trustworthy operations in the industrial Internet of Things. Journal of Industrial Information Integration, 21, Article 100190. https://doi.org/1

The industrial Internet of Things (IIoT) plays an important role in the industrial sector, where secure, scalable, and easily adopted technologies are being implemented for the smart industry. The traditional IIoT architectures are generally based on... Read More about A blockchain-based architecture for secure and trustworthy operations in the industrial Internet of Things.

Prediction of Critical Flashover Voltage of High Voltage Insulators Leveraging Bootstrap Neural Network (2020)
Journal Article
Niazi, M. T. K., Arshad, Ahmad, J., Alqahtani, F., Baotham, F. A., & Abu-Amara, F. (2020). Prediction of Critical Flashover Voltage of High Voltage Insulators Leveraging Bootstrap Neural Network. Electronics, 9(10), Article 1620. https://doi.org/10.3390/e

Understanding the flashover performance of the outdoor high voltage insulator has been in the interest of many researchers recently. Various studies have been performed to investigate the critical flashover voltage of outdoor high voltage insulators... Read More about Prediction of Critical Flashover Voltage of High Voltage Insulators Leveraging Bootstrap Neural Network.

EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network (2020)
Journal Article
Abbasi, S. F., Ahmad, J., Tahir, A., Awais, M., Chen, C., Irfan, M., …Chen, W. (2020). EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network. IEEE Access, 8, 183025-183034. https://doi.org/10.1109/access.2020.3028182

Objective: Classification of sleep-wake states using multichannel electroencephalography (EEG) data that reliably work for neonates. Methods: A deep multilayer perceptron (MLP) neural network is developed to classify sleep-wake states using multichan... Read More about EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network.

Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps (2020)
Journal Article
Shah, S. A., Ahmad, J., Masood, F., Shah, S. Y., Pervaiz, H., Taylor, W., …Abbasi, Q. H. (2021). Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps. IEEE Sensors Journal, 21(3), 366

The health status of an elderly person can be identified by examining the additive effects of aging along disease linked to it and can lead to the ’unstable incapacity’. This health status is essentially determined by the apparent decline of independ... Read More about Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps.