SURVEY ON PASSWORD STRENGTH ANALYZER USING LSTM AND CNN

COMPUTER ENGINEERING

The Password Strength Analyzer using AI and Machine Learning is a web-based application designed to assess and enhance password security using a hybrid LSTM-CNN model. The system comprises a user-friendly frontend developed with HTML, CSS, and JavaScript, which allows users to input their passwords and receive instant feedback on their strength, score, and recommendations for improvement. The backend, built with Flask and TensorFlow, uses a pre-trained deep learning model that integrates Conv1D (CNN) for local pattern extraction and LSTM layers for capturing sequential dependencies, ensuring precise classification into Weak, Medium, or Strong categories. The model is trained on a large password dataset, tokenized at the character level, and uses padded sequences to maintain consistency. Additionally, the system performs real-time leak detection by querying the "Have I Been Pwned" API, checking if the password has appeared in known data breaches. The application also offers actionable recommendations, such as adding uppercase letters, digits, or special characters, to help users create stronger, more secure passwords. This tool provides an effective and interactive solution for promoting better password practices and strengthening online security.

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