9786138912149 - Applications of Deep Learning: Detection and Prevention of phishing website de M., HUMERA KHANAM; C., BHARATHI RAJA (8 resultados)

Condición: New.

Taschenbuch. Condición: Neu. Applications of Deep Learning | Detection and Prevention of phishing website | Humera Khanam M. (u. a.) | Taschenbuch | Englisch | 2022 | Scholars' Press | EAN 9786138912149 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 60 pp. Englisch.

Condición: New. PRINT ON DEMAND.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .

Taschenbuch. Condición: Neu. 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.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.