# The Methods to Improve Quality of Service by Accounting Secure   Parameters

**Authors:** Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageiev and, Vitalii Bulakh

arXiv: 1905.01960 · 2019-05-07

## TL;DR

This paper proposes methods to enhance quality of service in telecommunications networks by accounting for security parameters, traffic multifractality, and attack detection, leading to reduced data loss and improved resource efficiency.

## Contribution

It introduces new buffering, routing, and capacity control methods that incorporate traffic multifractality and attack detection for better QoS management.

## Key findings

- Proposed methods reduce data loss during network overloads.
- Incorporating security parameters improves network resource utilization.
- Traffic analysis shows attack presence affects QoS parameters.

## Abstract

A solution to the problem of ensuring quality of service, providing a greater number of services with higher efficiency taking into account network security is proposed. In this paper, experiments were conducted to analyze the effect of self-similarity and attacks on the quality of service parameters. Method of buffering and control of channel capacity and calculating of routing cost method in the network, which take into account the parameters of traffic multifractality and the probability of detecting attacks in telecommunications networks were proposed. The both proposed methods accounting the given restrictions on the delay time and the number of lost packets for every type quality of service traffic. During simulation the parameters of transmitted traffic (self-similarity, intensity) and the parameters of network (current channel load, node buffer size) were changed and the maximum allowable load of network was determined. The results of analysis show that occurrence of overload when transmitting traffic over a switched channel associated with multifractal traffic characteristics and presence of attack. It was shown that proposed methods can reduce the lost data and improve the efficiency of network resources.

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Source: https://tomesphere.com/paper/1905.01960