A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)

Cevat Rahebi

Phishing attacks pose a significant threat to online security, utilizing fake websites to steal sensitive user information. Deep learning techniques, particularly convolutional neural networks (CNNs), have emerged as promising tools for detecting phishing attacks. However, traditional CNN-based image classification methods face limitations in effectively identifying fake pages. To address this challenge, we propose an image-based coding approach for detecting phishing attacks using a CNN-LSTM hybrid model. This approach combines SMOTE, an enhanced GAN based on the Autoencoder network, and swar ...Daha fazlası

Makale 2024 International Journal of Information Security 20 Görüntülenme

Süresiz Ambargo

Wave Net-TSRS Model for Time Series Prediction in Finance

Aref Yelghı

In economies, it can be used as a very important money market instrument in terms of ensuring economic stability with central bank reserves and maintaining adequate liquidity. In recent years, researchers have focused on forecasting reverse fluctuation without influencing reserve factors. Interest, inflation, and exchange rate are used as finance economic variables in the estimation of economy reserves because those are influencing factors of reserves held in central banks that can cause their reserves to rise and fall. In the research, the monthly base data of China, Japan, South Korea, India ...Daha fazlası

Kitap Bölümü 2024 Springer Science and Business Media Deutschland GmbH 9 Görüntülenme Süresiz Ambargo