Fog Computing-Based Optimized and Secured IoT Data Sharing Using CMA-ES and Firefly Algorithm with DAG Protocols and Federated Byzantine Agreement

Abstract

Background information: Secure, low-latency data sharing has become more difficult as a
result of the Internet of Things' explosive expansion. This paper suggests a fog computing
system that uses Federated Byzantine Agreement (FBA) for safe and scalable data sharing,
Directed Acyclic Graph (DAG) protocols, and Covariance Matrix Adaptation Evolution
Strategy (CMA-ES) and Firefly Algorithm for optimization. By addressing latency and
security, the method guarantees effective data sharing. In a variety of IoT scenarios, the results
demonstrate increased throughput, security, and decreased latency.