Reducing Latency and Increasing Resilience to Cyberattacks on Networks

Abstract

Due to the constant need for Internet access, the multitude of requests from various user devices for content from multiple sources causes routers to suffer high latency if data transmissions are mismanaged. Furthermore, if an attack, such as Denial of Service (DoS) or Distributed Denial of Service (DDoS), is launched on a network with mismanaged data transmissions, the result could be catastrophic, making proper transmission management paramount. Various techniques for managing these communications exist, but they are computationally costly and only account for select variables such as energy consumption or the amount of data transmitted. We use a genetic algorithm approach to generate network configurations with reduced latency based on multiple factors: transmission distance, data transmitted over a connection or to a node, and energy consumption, with the eventual goal of these networks having increased resilience to cyberattacks.