All Outputs (5)

API security in large enterprises: Leveraging machine learning for anomaly detection (2021)
Conference Proceeding
Baye, G., Hussain, F., Oracevic, A., Hussain, R., & Ahsan Kazmi, S. (2021). API security in large enterprises: Leveraging machine learning for anomaly detection. In 2021 International Symposium on Networks, Computers and Communications (ISNCC) (1-6). https://doi.org/10.1109/ISNCC52172.2021.9615638

Large enterprises offer thousands of micro-services applications to support their daily business activities by using Application Programming Interfaces (APIs). These applications generate huge amounts of traffic via millions of API calls every day, w... Read More about API security in large enterprises: Leveraging machine learning for anomaly detection.

A novel contract theory-based incentive mechanism for cooperative task-offloading in electrical vehicular networks (2021)
Journal Article
Kazmi, S. M., Dang, T. N., Yaqoob, I., Manzoor, A., Hussain, R., Khan, A., …Salah, K. (2022). A novel contract theory-based incentive mechanism for cooperative task-offloading in electrical vehicular networks. IEEE Transactions on Intelligent Transportation Systems, 23(7), 8380-8395. https://doi.org/10.1109/tits.2021.3078913

The proliferation of compute-intensive services in next-generation vehicular networks will impose an unprecedented computation demand to meet stringent latency and resource requirements. Vehicular edge or fog computing has been a widely adopted solut... Read More about A novel contract theory-based incentive mechanism for cooperative task-offloading in electrical vehicular networks.

On-device computational caching-enabled augmented reality for 5G and beyond: A contract-theory-based incentive mechanism (2021)
Journal Article
Dang, T. N., Kim, K., Khan, L. U., Kazmi, S. M. A., Han, Z., & Hong, C. S. (2021). On-device computational caching-enabled augmented reality for 5G and beyond: A contract-theory-based incentive mechanism. IEEE Internet of Things, 8(24), 17382-17394. https://doi.org/10.1109/JIOT.2021.3080709

Recently, we have witnessed an increasing demand in augmented reality (AR)-based fifth-generation (5G) and beyond applications, such as smart gaming, smart navigation, smart military wearable, and smart industries. These AR-based applications require... Read More about On-device computational caching-enabled augmented reality for 5G and beyond: A contract-theory-based incentive mechanism.

Adversarial reconstruction loss for domain generalization (2021)
Journal Article
Bekkouch, I. E. I., Nicolae, D. C., Khan, A., Kazmi, S. M. A., Khattak, A. M., & Ibragimov, B. (2021). Adversarial reconstruction loss for domain generalization. IEEE Access, 9, 42424-42437. https://doi.org/10.1109/ACCESS.2021.3066041

The biggest fear when deploying machine learning models to the real world is their ability to handle the new data. This problem is significant especially in medicine, where models trained on rich high-quality data extracted from large hospitals do no... Read More about Adversarial reconstruction loss for domain generalization.

Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges (2021)
Journal Article
Majeed, U., Khan, L. U., Yaqoob, I., Kazmi, S. A., Salah, K., & Hong, C. S. (2021). Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges. Journal of Network and Computer Applications, 181, Article 103007. https://doi.org/10.1016/j.jnca.2021.103007

A remarkable interest in the Internet of Things (IoT)-based smart cities from both academia and industry has been observed in recent years. Smart cities can offer various smart applications such as intelligent transportation, industry 4.0, smart bank... Read More about Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges.