Combating Mobile Messaging Spam: Modern Protection Strategies for SMS and Chat Platforms

Abstract

Mobile messaging platforms are increasingly targeted by large-scale spam, phishing, and fraud campaigns. This paper presents a comprehensive, defense-in-depth approach for protecting SMS and modern chat platforms. It explores traffic analysis, machine learning–based detection, behavioral graph modeling, and enforcement mechanisms that collectively disrupt abuse at scale. The study discusses key trade-offs between accuracy, latency, and user experience, demonstrating how layered protections significantly reduce spam volume and limit the economic viability of messaging abuse.