Abstract: In this paper, we tackle the challenge of real-time detection of social engineering attacks, specifically focusing on phishing Uniform Resource Locator (URL) classification. We apply machine ...
10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Abstract: This study evaluates six intrusion detection models using the UNSW-NB15 dataset, which serves as a modern benchmark encompassing diverse attack types and authentic traffic conditions. We ...
Crop Disease Detection using Machine Learning is a CNN-based system that identifies crop diseases from leaf images and provides preventive measures, helping farmers detect diseases early and reduce ...