Flow-based Routing Model with Load Balancing on the Traffic Engineering Principles Taking into Account the Information Security Risks

Authors

  • Maryna Yevdokymenko Kharkiv National University of Radio Electronics, Ukraine
  • Maryna Shapoval Kharkiv National University of Radio Electronics, Ukraine
  • Alla Krepko Ivan Kozhedub Kharkiv University of Air Force, Ukraine

DOI:

https://doi.org/10.30837/pt.2020.2.03

Abstract

A practical approach to load balancing in a telecommunication network (TCN) is implementing Traffic Engineering (TE) technology principles to reduce link utilization and improve QoS level. In order to adapt TE solutions with network security requirements, this paper proposes a mathematical model for secure routing, which belongs to the class of flow-based optimization solutions. The model is based on the conditions of multi-flow routing implementation, flow conservation, and TCN link overload prevention. Due to this, the problem of secure routing is formulated in an optimization form. The model’s novelty is the modified conditions of load balancing in TCN. Along with the indicators of link capacity with the help of weighting coefficients, the network security (NS) indicators of TCN elements are also taken into account. The network security (NS) indicators in the TCN modeling process include information security risks of routers and communication links, losses from breach of confidentiality and integrity of information, probability of existing vulnerabilities exploitation, etc. The study confirmed the effectiveness of the proposed solution. On the test TCN topology, it is demonstrated that the use of a secure routing model allows to calculate the routes and provide such an order of load balancing, which compromises meeting the requirements of both QoS and NS. In the routing process, information security risk reduction in packet transmission by about 11.3% was accompanied by an increase (on average by 26%) in the upper bound of the network link utilization

Published

2020-12-11

Issue

Section

Articles