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.
Rik Das & Shekhar Khandelwal
Phishing Detection Using Content-Based Image Classification [EPUB ebook]
Phishing Detection Using Content-Based Image Classification [EPUB ebook]
Bu e-kitabı satın alın ve 1 tane daha ÜCRETSİZ kazanın!
Dil İngilizce ● Biçim EPUB ● Sayfalar 130 ● ISBN 9781000597691 ● Yayımcı CRC Press ● Yayınlanan 2022 ● İndirilebilir 3 kez ● Döviz EUR ● Kimlik 8387165 ● Kopya koruma Adobe DRM
DRM özellikli bir e-kitap okuyucu gerektirir