Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques
Journal Article
Konstantinou, A., Kasimatis, D., Buchanan, W. J., Ullah Jan, S., Ahmad, J., Politis, I., & Pitropakis, N. (2025)
Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques. Machine Learning and Knowledge Extraction, 7(2), Article 31. https://doi.org/10.3390/make7020031
This paper explores the potential use of Large Language Models (LLMs), such as ChatGPT, Google Gemini, and Microsoft Copilot, in threat hunting, specifically focusing on Livin...
Hybrid Wi-Fi and PLC network for efficient e-health communication in hospitals: a prototype
Journal Article
Khan, S. U., Ullah Jan, S., Hwang, T., & Koo, I. (2024)
Hybrid Wi-Fi and PLC network for efficient e-health communication in hospitals: a prototype. Bulletin of Electrical Engineering and Informatics, 13(2), 1400-1410. https://doi.org/10.11591/eei.v13i2.5309
E-health is being adapted in modern hospitals as a significant addition to the existing healthcare services. To this end, modern hospitals urgently require a mobile, high-capa...
Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images
Journal Article
Khan, S. U., Jan, S. U., & Koo, I. (2023)
Robust Epileptic Seizure Detection Using Long Short-Term Memory and Feature Fusion of Compressed Time–Frequency EEG Images. Sensors, 23(23), Article 9572. https://doi.org/10.3390/s23239572
Epilepsy is a prevalent neurological disorder with considerable risks, including physical impairment and irreversible brain damage from seizures. Given these challenges, the u...
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...
TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks
Journal Article
Ullah, S., Ahmad, J., Khan, M. A., Alshehri, M. S., Boulila, W., Koubaa, A., …Iqbal Ch, M. M. (2023)
TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks. Computer Networks, 237, Article 110072. https://doi.org/10.1016/j.comnet.2023.110072
The Internet of Things (IoT) is a global network that connects a large number of smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to-...
AI-Enabled Traffic Control Prioritization in Software-Defined IoT Networks for Smart Agriculture
Journal Article
Masood, F., Khan, W. U., Jan, S. U., & Ahmad, J. (2023)
AI-Enabled Traffic Control Prioritization in Software-Defined IoT Networks for Smart Agriculture. Sensors, 23(19), Article 8218. https://doi.org/10.3390/s23198218
Smart agricultural systems have received a great deal of interest in recent years because of their potential for improving the efficiency and productivity of farming practices...
A Comparison of Ensemble Learning for Intrusion Detection in Telemetry Data
Presentation / Conference Contribution
Naz, N., Khan, M. A., Khan, M. A., Khan, M. A., Jan, S. U., Shah, S. A., Arshad, Abbasi, Q. H., & Ahmad, J. (2022, October)
A Comparison of Ensemble Learning for Intrusion Detection in Telemetry Data. Presented at 3rd International Conference of Advanced Computing and Informatics, Casablanca, Morocco
The Internet of Things (IoT) is a grid of interconnected pre-programmed electronic devices to provide intelligent services for daily life tasks. However, the security of such ...
A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis
Journal Article
Rehman, M. U., Shafique, A., Ghadi, Y. Y., Boulila, W., Jan, S. U., Gadekallu, T. R., …Ahmad, J. (2022)
A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis. IEEE Transactions on Network Science and Engineering, 9(6), 4322-4337. https://doi.org/10.1109/TNSE.2022.3199235
Early cancer identification is regarded as a challenging problem in cancer prevention for the healthcare community. In addition, ensuring privacy-preserving healthcare data be...
Automated Grading of Diabetic Macular Edema Using Color Retinal Photographs
Presentation / Conference Contribution
Zubair, M., Ahmad, J., Alqahtani, F., Khan, F., Shah, S. A., Abbasi, Q. H., & Jan, S. U. (2022, May)
Automated Grading of Diabetic Macular Edema Using Color Retinal Photographs. Presented at 2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH), Riyadh, Saudi Arabia
Diabetic Macular Edema (DME) is an advanced indication of diabetic retinopathy (DR). It starts with blurring in vision and can lead to partial or even complete irreversible vi...
Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review
Journal Article
Gulzar Ahmad, S., Iqbal, T., Javaid, A., Ullah Munir, E., Kirn, N., Jan, S. U., & Ramzan, N. (2022)
Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review. Sensors, 22(12), Article 4362. https://doi.org/10.3390/s22124362
Currently, information and communication technology (ICT) allows health institutions to reach disadvantaged groups in rural areas using sensing and artificial intelligence (AI...