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  3. Computer vision
Phishing Detection Using Content-Based Image Classification
Af: Shekhar Khandelwal, Rik Das
Engelsk
Bogcover for Phishing Detection Using Content-Based Image Classification af Shekhar Khandelwal, Rik Das, 9781032108537
Specifikationer
Sprog:
Engelsk
Sider:
130
ISBN-13:
9781032108537
Indbinding:
Hardback
ISBN-10:
1032108533
Kategori:
Udg. Dato:
2 jun 2022
Størrelse i cm:
14,5 x 22,5 x 1,5
Forlag:
Oplagsdato:
2 jun 2022
Forfatter(e):
Genre:

Phishing Detection Using Content-Based Image Classification

Af: Shekhar Khandelwal, Rik Das
Engelsk
Hardback 2022
Format:
Hardback
Bog beskrivelse
"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 ComputerVision. 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 newadvancement in the field of computer vision and more advanced algorithms"--
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Specifikationer
Sprog:
Engelsk
Sider:
130
ISBN-13:
9781032108537
Indbinding:
Hardback
ISBN-10:
1032108533
Kategori:
Udg. Dato:
2 jun 2022
Størrelse i cm:
14,5 x 22,5 x 1,5
Forlag:
Oplagsdato:
2 jun 2022
Forfatter(e):
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