Edge Computing for Real-Time Data Processing in IoT: Enhancing Latency and Security in Smart Systems

EasyChair Preprint 15378

Abstract

Edge computing is transforming the Internet of Things (IoT) by enabling real-time data processing at the network’s edge, reducing latency and enhancing security for smart systems. By processing data closer to the source, edge computing minimizes the delay associated with centralized cloud computing, making it ideal for applications like autonomous vehicles, smart cities, and industrial automation. This paper examines edge computing’s impact on latency reduction and data security within IoT environments, exploring architectural models, security protocols, and performance benchmarks. Case studies demonstrate the effectiveness of edge computing in achieving low-latency, secure IoT operations, providing insights into its potential for future smart system applications.

Keyphrases: Data Security, Edge Computing, Internet of Things, Smart Systems, distributed computing, latency reduction, real-time processing

@booklet{EasyChair:15378,
  author    = {Anastasia Ivanov},
  title     = {Edge Computing for Real-Time Data Processing in IoT: Enhancing Latency and Security in Smart Systems},
  howpublished = {EasyChair Preprint 15378},
  year      = {EasyChair, 2024}}