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Evolutionary Algorithms for Design of Virtual Private Networks

  • Igor Kotenko
  • Igor Saenko
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 798)

Abstract

Virtual Private Networks (VPNs) is a most known technology to create the protected communication links via the Internet. The paper offers a new approach to solve the problem of VPN network design based on evolutionary algorithms (genetic and differential evolution). The joint accounting of network bandwidth, reliability and cost, which indices are calculated on the basis of the offered queuing theory models, is the feature of the considered problem. The experimental assessment of the suggested decisions shows that the evolutionary algorithms can improve the VPN network efficiency up to 40% in comparison with the standard variants of its creation. The comparative assessment of the suggested evolutionary algorithms shows higher convergence of the differential evolution algorithm.

Keywords

Genetic algorithm Differential evolution Security Virtual Private Network Reliability 

Notes

Acknowledgment

This work was supported by grants of RFBR (projects No. 16-29-09482, 18-07-01369 and 18-07-01488), by the budget (the project No. AAAA-A16-116033110102-5), and by Government of Russian Federation (Grant 08-08).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.St. Petersburg Institute for Informatics and Automation of the Russian Academy of SciencesSt. PetersburgRussia
  2. 2.ITMO UniversitySt. PetersburgRussia

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