Applications of Deep Learning

Humera Khanam M.

ISBN 10: 6138912144 / ISBN 13: 9786138912149

Published by Scholars' Press Aug 2022, 2022

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Phishing is one of the most common and dangerous attacks among cybercrimes. The aim of these attacks is to steal the information used by individuals and organizations. The phishing website will appear the same as the legitimate website and directs the user to a page to enter the user's personal details on the fake website. Phishing websites contain various hints in their contents and web browser-based information. Some of the previous work in phishing detection is the Machine Learning approach and fuzzy logic. Machine Learning algorithms can handle large datasets efficiently and the performance of machine learning-based techniques relies on the types of classifiers, and features used. In the proposed method Deep Learning is used to implement the lp system to detect the phishing website.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Seller Inventory # 9786138912149

Bibliographic Details

• Title: Applications of Deep Learning
• Publisher: Scholars' Press Aug 2022
• Publication Date: 2022
• Language: English
• ISBN 10: 6138912144
• ISBN 13: 9786138912149
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 107 grams

About this title

Synopsis

Phishing is one of the most common and dangerous attacks among cybercrimes. The aim of these attacks is to steal the information used by individuals and organizations. The phishing website will appear the same as the legitimate website and directs the user to a page to enter the user's personal details on the fake website. Phishing websites contain various hints in their contents and web browser-based information. Some of the previous work in phishing detection is the Machine Learning approach and fuzzy logic. Machine Learning algorithms can handle large datasets efficiently and the performance of machine learning-based techniques relies on the types of classifiers, and features used. In the proposed method Deep Learning is used to implement the lp system to detect the phishing website.