The Impact of Integrating Machine Learning and Block Chain for SMS Spam Detection

Abstract

The widespread use of mobile communication has led to a significant rise in SMS-based spam, posing challenges for users and service providers. This paper explores the integration of machine learning (ML) and block chain technology to enhance SMS spam detection. We assess the effectiveness of various ML algorithms in identifying spam messages and examine the potential of blockchain to provide a secure, decentralized platform for data sharing and model updates. Our findings indicate that combining ML and blockchain can significantly improve the accuracy and reliability of SMS spam detection, offering a comprehensive solution to this growing issue.