A Secure and Compressed Framework for Scalable Social Chatting Applications

Abstract

In this age of immediate digital communication, it's more important than ever to make sure that social media sites are safe, fast, and able to grow. This paper suggests a comprehensive model that deals with important security and performance challenges in modern chat systems. The framework uses a two-layer design that combines symmetric encryption (AES-256) with lightweight compression techniques (like Brotli or LZMA) to speed up data transfer while keeping it private. Microservice-based architectures, like Kafka and edge computing, help improve system speed by allowing messages to be queued. This keeps the latency low and the throughput high. You can use tools like Metasploit to make a unique hacking simulation module that tests how well a system can handle replay, injection, and denial-of-service (DoS) attacks. Docker and Kubernetes are used to build the ecosystem evaluation platform. It can simulate thousands of users at the same time and keep track of performance measures like uptime, system overhead, and latency. The results show that the proposed model works to promote safe and productive communication in changing environments. This architecture not only lays the groundwork for future secure messaging systems, but it also has real-world uses in creating cutting-edge social chat apps.