A Deep Learning-Based Phishing Detection System Using CNN, LSTM, and LSTM-CNN
King Saud University · Naif Arab University for Security Sciences
Abstract
In terms of the Internet and communication, security is the fundamental challenging aspect. There are numerous ways to harm the security of internet users; the most common is phishing, which is a type of attack that aims to steal or misuse a user’s personal information, including account information, identity, passwords, and credit card details. Phishers gather information about the users through mimicking original websites that are indistinguishable to the eye. Sensitive information about the users may be accessed and they might be subject to financial harm or identity theft. Therefore, there is a strong need to develop a system that efficiently detects phishing websites. Three distinct deep learning-based…
Citation impact
- FWCI
- 90.06
- Percentile
- 100%
- References
- 36
Authors
6- ZAZainab Alshingiti
King Saud University
- RARabeah Alaqel
King Saud University
- JAJalal Al‐Muhtadi
King Saud University
- QEQazi Emad Ul HaqCorresponding
Naif Arab University for Security Sciences
- KSKashif Saleem
King Saud University
Topics & keywords
- Phishing
- Computer science
- Convolutional neural network
- Credit card
- Artificial intelligence
- Password
- Deep learning
- Identity theft
- Peace, Justice and strong institutions