All Outputs (4)

Performance of deep learning vs machine learning in plant leaf disease detection (2020)
Journal Article
Sujatha, R., Chatterjee, J. M., Jhanjhi, N. Z., & Brohi, S. (2020). Performance of deep learning vs machine learning in plant leaf disease detection. Microprocessors and Microsystems, 80, 103615. https://doi.org/10.1016/j.micpro.2020.103615

Plants are recognized as essential as they are the primary source of humanity's energy production since they are having nutritious, medicinal, etc. values. At any time between crop farming, plant diseases can affect the leaf, resulting in enormous cr... Read More about Performance of deep learning vs machine learning in plant leaf disease detection.

Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs) (2020)
Journal Article
Khan, N. A., Jhanjhi, N. Z., Brohi, S. N., Usmani, R. S. A., & Nayyar, A. (2020). Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs). Computer Communications, 157, 434-443. https://doi.org/10.1016/j.comcom.2020.04.049

Road traffic accidents are one of the leading causes of deaths and injuries in the word resulting in the not only loss of precious human lives but also affect the economic resources. According to the World Health Organization (WHO), over 1.35 million... Read More about Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs).

An experimental study to evaluate the performance of machine learning algorithms in ransomware detection (2020)
Journal Article
Dion, Y., & Brohi, S. N. (2020). An experimental study to evaluate the performance of machine learning algorithms in ransomware detection. Journal of Engineering Science and Technology, 15(2), 967-981

The research in the domain of ransomware is rapidly emerging, and the application of machine learning algorithms in ransomware detection is one of the recent breakthroughs. In this research, we constructed an experimental platform using ransomware da... Read More about An experimental study to evaluate the performance of machine learning algorithms in ransomware detection.

A three-level ransomware detection and prevention mechanism (2020)
Journal Article
Ren, A., Liang, C., Hyug, I. J., Brohi, S. N., & Jhanjhi, N. Z. (2020). A three-level ransomware detection and prevention mechanism. EAI Endorsed Transactions on Energy Web, 7(26), 162691. https://doi.org/10.4108/eai.13-7-2018.162691

Ransomware encrypts victim's files or locks users out of the system. Victims will have to pay the attacker a ransom to decrypt and regain access to the user files. Petya targets individuals and companies through email attachments and download links.... Read More about A three-level ransomware detection and prevention mechanism.