Visible to the public A Network Coding Optimization Scheme for Niche Algorithm based on Security Performance

TitleA Network Coding Optimization Scheme for Niche Algorithm based on Security Performance
Publication TypeConference Paper
Year of Publication2019
AuthorsSun, Xuezi, Xu, Guangxian, Liu, Chao
Conference Name2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
PublisherIEEE
ISBN Number978-1-7281-1907-6
Keywordscoding operation, composability, cyber physical systems, encoding, fitness function, genetic algorithms, Information security, k-secure network coding, k-secure network coding mechanism, Metrics, multitarget niche genetic algorithm, network coding, network coding optimization, network coding optimization scheme, network overhead, Niche genetic algorithm, optimal solution, Optimization, pubcrawl, resilience, Resiliency, security, security issues, security performance, SNGA, Sociology, Statistics, telecommunication security
Abstract

The network coding optimization based on niche genetic algorithm can observably reduce the network overhead of encoding technology, however, security issues haven't been considered in the coding operation. In order to solve this problem, we propose a network coding optimization scheme for niche algorithm based on security performance (SNGA). It is on the basis of multi-target niche genetic algorithm(NGA)to construct a fitness function which with k-secure network coding mechanism, and to ensure the realization of information security and achieve the maximum transmission of the network. The simulation results show that SNGA can effectively improve the security of network coding, and ensure the running time and convergence speed of the optimal solution.

URLieeexplore.ieee.org/document/8998058
DOI10.1109/IAEAC47372.2019.8998058
Citation Keysun_network_2019