Shekhar Khandelwal, Rik Das

Broschiertes Buch

Phishing Detection Using Content-Based Image Classification

Beschreibung

Phishing Detection using Content Based Image Classification explores Phishing detection using computer vision through CNN, transfer learning and representation learning, utilizing ML & DL classifiers. This book is primarily aimed at researchers, professionals and students in field of Computer Vision and Cyber Security domain.

Autor

Shekhar Khandelwal is a Data Scientist and works for Ernst & Young (EY) for Data & Analytics team. He has an extensive experience of around 15 years in the industry, and has worked across every sphere of Software Development Lifecycle. He has worked as a product developer, industry solutions developer, data engineer, data scientist and also as a Cloud developer. Previously, he worked for IBM Software labs where he also got a chance to work for industrial IoT based IBM cognitive product development and client deployment using various Watson tools and technologies. He is an industry leader solving challenging Computer Vision, NLP and Predictive Analytics based problems using Machine Learning and Deep Learning. Dr. Rik Das is currently a Lead Software Engineer in Computer Vision Research at Siemens Advanta, India. Previously he was with Xavier Institute of Social Service, Ranchi, as an Assistant Professor for the Post Graduate Program in Information Technology. Dr.Das has over 17 years of experience in industrial and academic research. He was professionally associated with many leading universities and institutes in India, including Narsee Monjee Institute of Management Studies (NMIMS) (deemed-to-be-university), Globsyn Business School and Maulana Abul Kalam Azad University of Technology. Dr. Das has a Ph.D. (Tech.) in Information Technology from the University of Calcutta. He has also received his M.Tech. (Information Technology) from the University of Calcutta after his B.E. (Information Technology) from the University of Burdwan, West Bengal, India.

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 130
• Erscheinungstermin: 9. Oktober 2024
• Englisch
• Abmessung: 216mm x 140mm x 7mm
• Gewicht: 163g
• ISBN-13: 9781032265025
• ISBN-10: 1032265027
• Artikelnr.: 71644715