All Outputs (4)

Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection (2023)
Journal Article
Randhawa, R. H., Aslam, N., Alauthman, M., Khalid, M., & Rafiq, H. (2024). Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection. Future generations computer systems : FGCS, 150, 294-302. https://doi.org/10.1016/j.future.2023.09.011

Botnet detectors based on machine learning are potential targets for adversarial evasion attacks. Several research works employ adversarial training with samples generated from generative adversarial nets (GANs) to make the botnet detectors adept at... Read More about Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection.

Autonomous valet parking optimization with two-step reservation and pricing strategy (2023)
Journal Article
Hu, Z., Cao, Y., Li, X., Zhu, Y., Khalid, M., & Ahmad, N. (2023). Autonomous valet parking optimization with two-step reservation and pricing strategy. Journal of Network and Computer Applications, 219, Article 103727. https://doi.org/10.1016/j.jnca.2023.103727

With the development of autonomous vehicle, the autonomous valet parking has been attracting extensive attention, by relieving users’ inconvenience from parking. Compared with shortrange autonomous valet parking, long-range autonomous valet parking e... Read More about Autonomous valet parking optimization with two-step reservation and pricing strategy.

Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review (2023)
Journal Article
Ali, Y., Ullah Khan, H., & Khalid, M. (2023). Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review. Journal Of Big Data, 10(1), Article 128. https://doi.org/10.1186/s40537-023-00805-5

Internet of Things (IoT) driven systems have been sharply growing in the recent times but this evolution is hampered by cybersecurity threats like spoofing, denial of service (DoS), distributed denial of service (DDoS) attacks, intrusions, malwares,... Read More about Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review.

Symmetry-based decomposition for optimised parallelisation in 3D printing processes (2023)
Journal Article
Hatton, H., Khalid, M., Manzoor, U., & Murray, J. (2023). Symmetry-based decomposition for optimised parallelisation in 3D printing processes. International Journal of Advanced Manufacturing Technology, 127, 2935–2954. https://doi.org/10.1007/s00170-023-11205-7

Current research in 3D printing focuses on improving printing performance through various techniques, including decomposition, but targets only single printers. With improved hardware costs increasing printer availability, more situations can arise i... Read More about Symmetry-based decomposition for optimised parallelisation in 3D printing processes.