Phishing Detection Using Content-Based Image Classification

Rik Das author Shekhar Khandelwal author

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:2nd Jun '22

Should be back in stock very soon

This hardback is available in another edition too:

Phishing Detection Using Content-Based Image Classification cover

Phishing Detection Using Content-Based Image Classification is an invaluable resource for any deep learning and cybersecurity professional and scholar trying to solve various cybersecurity tasks using new age technologies like Deep Learning and Computer Vision. With various rule-based phishing detection techniques at play which can be bypassed by phishers, this book provides a step-by-step approach to solve this problem using Computer Vision and Deep Learning techniques with significant accuracy.

The book offers comprehensive coverage of the most essential topics, including:

  • Programmatically reading and manipulating image data
  • Extracting relevant features from images
  • Building statistical models using image features
  • Using state-of-the-art Deep Learning models for feature extraction
  • Build a robust phishing detection tool even with less data
  • Dimensionality reduction techniques
  • Class imbalance treatment
  • Feature Fusion techniques
  • Building performance metrics for multi-class classification task

Another unique aspect of this book is it comes with a completely reproducible code base developed by the author and shared via python notebooks for quick launch and running capabilities. They can be leveraged for further enhancing the provided models using new advancement in the field of computer vision and more advanced algorithms.

ISBN: 9781032108537

Dimensions: unknown

Weight: 281g

130 pages