Deep Learning Approach in Anti-Phishing Technology

A significant rise in electronic trade, or consumer-to-consumer online transactions, has occurred recently as a result of advances Internet and cloud technologies. Malware, phishing, ransomware, man- in-the-middle attacks other techniques are just few the ways cybercriminals utilize to begin cyber attack. Phishing is form social engineering security assault which nefarious actors send messages acting reliable individuals. use complex strategies, techniques, technologies obtain sensitive data, including content injection, networks etc. Real-time identification phishing sites challenging with available anti-phishing tools. Therefore, protected open system required that allows user directly verify site. The long short- term memory (LSTM) algorithm convolutional neural network (CNN) were combined develop hybrid deep learning model (LCR). goal this research was web browser named Detection Browser (PD Browser) can identify using learning. Keywords— Phishing, Anti-Phishing, Deep learning, Hybrid Learning Model