{"product_id":"phishing-detection-using-content-based-image-classification-hardcover","title":"Phishing Detection Using Content-Based Image Classification - Hardcover","description":"\u003cp\u003eby \u003cb\u003eShekhar Khandelwal\u003c\/b\u003e (Author), \u003cb\u003eRik Das\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePhishing Detection Using Content-Based Image Classification\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003eThe book offers comprehensive coverage of the most essential topics, including: \u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eProgrammatically reading and manipulating image data\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eExtracting relevant features from images\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eBuilding statistical models using image features\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eUsing state-of-the-art Deep Learning models for feature extraction\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eBuild a robust phishing detection tool even with less data\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eDimensionality reduction techniques\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eClass imbalance treatment\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eFeature Fusion techniques\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eBuilding performance metrics for multi-class classification task\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eAnother 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.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eShekhar Khandelwal\u003c\/strong\u003e is a Data Scientist and works for Ernst \u0026amp; Young (EY) for Data \u0026amp; 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDr. Rik Das\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 130\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.38 x 8.5 x 5.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 02, 2022\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42727553761343,"sku":"9781032108537","price":124.72,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/e9d0545068af10d13e4d88e7f2b803f6.webp?v=1765115268","url":"https:\/\/dhl-adrianne.myshopify.com\/products\/phishing-detection-using-content-based-image-classification-hardcover","provider":"BBB","version":"1.0","type":"link"}