Applications of Deep Learning

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.

Autorentext

La Dra. M. Humera Khanam ha estado trabajando como profesora en el Departamento de Ciencias de la Computación e Ingeniería de la Universidad Sri Venkateswara, Tirupati, Andhra Pradesh. Tiene 24 años de experiencia docente. Sus áreas de interés incluyen la Inteligencia Artificial, el Aprendizaje Automático, el Procesamiento del Habla y del Lenguaje, la Interacción Persona-Ordenador y los Big Data.