Items related to Phishing Detection Using Content-Based Image Classification
- PublisherChapman and Hall/CRC
- Publication date2022
- ISBN 10 1032108533
- ISBN 13 9781032108537
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages130
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Phishing Detection Using Content-Based Image Classification
Published by
Chapman And Hall/CRC Jun 2022, 2022
ISBN 10: 1032108533
ISBN 13: 9781032108537
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Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 dataExtracting relevant features from imagesBuilding statistical models using image featuresUsing state-of-the-art Deep Learning models for feature extractionBuild a robust phishing detection tool even with less dataDimensionality reduction techniquesClass imbalance treatmentFeature Fusion techniquesBuilding performance metrics for multi-class classification taskAnother unique aspect of this book is it comes with a completely reproducible code base developed by the author and shared via python not Elektronisches Buch 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. 134 pp. Englisch. Seller Inventory # 9781032108537
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