An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant (2022)
Journal Article
Jemmali, M., Bashir, A. K., Boulila, W., Melhim, L. K. B., Jhaveri, R. H., & Ahmad, J. (in press). An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/tits.2022.3219568

Nowadays, developing environmental solutions to ensure the preservation and sustainability of natural resources is one of the core research topics for providing a better life quality. Using renewable energy sources, such as solar energy, is one of th... Read More about An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant.

Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things (2022)
Journal Article
Hasan, A., Khan, M. A., Shabir, B., Munir, A., Malik, A. W., Anwar, Z., & Ahmad, J. (2022). Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things. Applied Sciences, 12(22), Article 11442. https://doi.org/10.3390/app122211442

The internet of things (IoT) is prone to various types of denial of service (DoS) attacks due to their resource-constrained nature. Extensive research efforts have been dedicated to securing these systems, but various vulnerabilities remain. Notably,... Read More about Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things.

Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring (2022)
Journal Article
Ghadi, Y. Y., Alsuhibany, S. A., Ahmad, J., Kumar, H., Boulila, W., Alsaedi, M., …Bhatti, S. A. (2022). Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring. Journal of Healthcare Engineering, 2022, Article 7745132. https://doi.org/10.1155/2022/7745132

With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based occupancy monitoring and wireless channels, especially Wi-Fi hotspot, pose s... Read More about Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring.

A Proposal of a New Chaotic Map for Application in the Image Encryption Domain (2022)
Journal Article
Abu-Amara, F., & Ahmad, J. (2023). A Proposal of a New Chaotic Map for Application in the Image Encryption Domain. Journal of Information and Knowledge Management, 22(2), Article 2250088. https://doi.org/10.1142/s0219649222500885

Several chaos-based image encryption schemes have been proposed in the last decade. Each encryption scheme has pros and cons regarding its speed, complexity, and security. This paper proposes a new chaotic map called Power-Chaotic Map (PCM). Characte... Read More about A Proposal of a New Chaotic Map for Application in the Image Encryption Domain.

An Efficient Lightweight Image Encryption Scheme Using Multichaos (2022)
Journal Article
Ullah, A., Shah, A. A., Khan, J. S., Sajjad, M., Boulila, W., Akgul, A., …Ahmad, J. (2022). An Efficient Lightweight Image Encryption Scheme Using Multichaos. Security and Communication Networks, 2022, Article 5680357. https://doi.org/10.1155/2022/5680357

With an immense increase in Internet multimedia applications over the past few years, digital content such as digital images are stored and shared over global networks, the probability for information leakage and illegal modifications to the digital... Read More about An Efficient Lightweight Image Encryption Scheme Using Multichaos.

Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform (2022)
Journal Article
Ali, H., Ahmad, J., Jaroucheh, Z., Papadopoulos, P., Pitropakis, N., Lo, O., …Buchanan, W. J. (2022). Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform. Entropy, 24(10), Article 1379. https://doi.org/10.3390/e24101379

Historically, threat information sharing has relied on manual modelling and centralised network systems, which can be inefficient, insecure, and prone to errors. Alternatively, private blockchains are now widely used to address these issues and impro... Read More about Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform.

Classification of Skin Cancer Lesions Using Explainable Deep Learning (2022)
Journal Article
Zia Ur Rehman, M., Ahmed, F., Alsuhibany, S. A., Jamal, S. S., Zulfiqar Ali, M., & Ahmad, J. (2022). Classification of Skin Cancer Lesions Using Explainable Deep Learning. Sensors, 22(18), Article 6915. https://doi.org/10.3390/s22186915

Skin cancer is among the most prevalent and life-threatening forms of cancer that occur worldwide. Traditional methods of skin cancer detection need an in-depth physical examination by a medical professional, which is time-consuming in some cases. Re... Read More about Classification of Skin Cancer Lesions Using Explainable Deep Learning.

A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis (2022)
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 becomes more difficult with the growing demand for sharing these data. This s... Read More about A Novel Chaos-Based Privacy-Preserving Deep Learning Model for Cancer Diagnosis.

Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques (2022)
Journal Article
Aamir, S., Rahim, A., Aamir, Z., Abbasi, S. F., Khan, M. S., Alhaisoni, M., …Ahmad, J. (2022). Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques. Computational and Mathematical Methods in Medicine, 2022, Article 5869529. https://doi.org/10.1155/2022/5869529

Breast cancer is one of the leading causes of increasing deaths in women worldwide. The complex nature (microcalcification and masses) of breast cancer cells makes it quite difficult for radiologists to diagnose it properly. Subsequently, various com... Read More about Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques.

Machine Learning-Based Prediction of Node Localization Accuracy in IIoT-Based MI-UWSNs and Design of a TD Coil for Omnidirectional Communication (2022)
Journal Article
Gang, Q., Muhammad, A., Khan, Z. U., Khan, M. S., Ahmed, F., & Ahmad, J. (2022). Machine Learning-Based Prediction of Node Localization Accuracy in IIoT-Based MI-UWSNs and Design of a TD Coil for Omnidirectional Communication. Sustainability, 14(15), Article 9683. https://doi.org/10.3390/su14159683

This study aims to realize Sustainable Development Goals (SDGs), i.e., SDG 9: Industry Innovation and Infrastructure and SDG 14: Life below Water, through the improvement of localization estimation accuracy in magneto-inductive underwater wireless se... Read More about Machine Learning-Based Prediction of Node Localization Accuracy in IIoT-Based MI-UWSNs and Design of a TD Coil for Omnidirectional Communication.