BGL-PhishNet: Phishing Website Detection Using Hybrid Model-BERT, GNN, and LightGBM

5,500.00
Aim: This study aims to develop an efficient and scalable system for multi-class classification of URLs into Phishing, Benign, Defacement, and Malware categories using the lightweight and context-aware DistilBERT model.

Deep Learning Algorithms for Cyber-Bulling Detection in Social Media Platforms

5,500.00
To improve the accuracy and efficiency of cyberbullying detection in social media text by utilizing an advanced machine learning model (DistilBERT) that overcomes ambiguity and classification challenges.

Integrating Sentiment Analysis with Machine Learning for Cyberbullying Detection on Social Media

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To improve the accuracy and efficiency of cyberbullying detection in social media text by utilizing an advanced machine learning model (DistilBERT) that overcomes ambiguity and classification challenges.