Year: 2024
Type: article
Abstract: This study delves into AI-powered methods for identifying and avoiding social media phishing assaults, with an emphasis on building a strong machine-learning model that accomplishes impressive performance measures. The model's 95% accuracy, 92% precision, and 90% recall guarantee accurate phishing threat classification with few false positives. Optimal response times are another element of the system that makes it suitable for real-time use in dynamic settings like social media. As the dangers of social media phishing continue to rise, the findings show that AI-based solutions could improve cybersecurity measures in a scalable and effective way.
Author: Vibha Sharma
Institution: Vivekananda Global University
Language: English
Topic: Spam and Phishing Detection
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411497253