All Outputs (3)

A novel deep reinforcement learning-based approach for task-offloading in vehicular networks (2022)
Conference Proceeding
Kazmi, S. M. A., Otoum, S., Hussain, R., & Mouftah, H. T. (2022). A novel deep reinforcement learning-based approach for task-offloading in vehicular networks. In 2021 IEEE Global Communications Conference (GLOBECOM) (1-6). https://doi.org/10.1109/GLOBECOM46510.2021.9685073

Next-generation vehicular networks will impose unprecedented computation demand due to the wide adoption of compute-intensive services with stringent latency requirements. Computational capacity of vehicular networks can be enhanced by integration of... Read More about A novel deep reinforcement learning-based approach for task-offloading in vehicular networks.

On the fairness of generative adversarial networks (GANs) (2022)
Conference Proceeding
Kenfack, P. J., Arapov, D. D., Hussain, R., Kazmi, S. A., & Khan, A. (2022). On the fairness of generative adversarial networks (GANs). In 2021 International Conference "Nonlinearity, Information and Robotics" (NIR) (1-7). https://doi.org/10.1109/NIR52917.2021.9666131

Generative adversarial networks (GANs) are one of the greatest advances in AI in recent years. With their ability to directly learn the probability distribution of data and then sample synthetic realistic data. Many applications have emerged, using G... Read More about On the fairness of generative adversarial networks (GANs).

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.