Applying Bio-Inspired Optimization Algorithms to Secure Network Protocols: A Study Using the Lotus Effect Optimization Algorithm

Abstract

This paper explores the application of bio-inspired optimization algorithms to enhance the security of network protocols. We focus on a novel approach using the Lotus Effect Optimization Algorithm (LEOA), inspired by the self-cleaning properties of lotus leaves, to develop and secure network protocols. Our study demonstrates how LEOA can optimize cryptographic parameters, detect anomalies, and adapt to evolving security threats, offering a promising alternative to traditional optimization techniques in network security.