# Evaluating the Functioning Quality of Data Transmission Networks in the Context of Cyberattacks
## 6 Experimental Results
In the case of the availability and implementation of an information impact by an attacker on network elements, the probability of the successful delivery of data packets in a given time significantly worsens (Figure 10). Calculations show that in the context of cyberattacks, the time for the successful delivery of data packets increases by two or more times when the real bandwidth of the transmission route is reduced up to 10 times. When the average time of the realization of cyberattacks is reduced tenfold, then the average packets delivery time increases by 2... 2.5 times, and in this case the packet  
Figure 10: The graph of the distribution function of the information delivery time when \(\lambda\ =\ 20\) packets/s in the context of a malefactor’s impact. Figure 9: Dependence graph of dispersion of the Pareto and Weibull flows with the parameters of the distribution scale \(k_{w}=k_{p}=1\). loss probability increases up to 0.4 and jitter of the delay time also increases up to tens of seconds. The impact of the dispersion of the time of the realization of cyberattacks on the quality of service indicators of the network is extremely nominal. For example, the probability change of successful delivery in a given time is less than 1%. There is still a tendency for the extension of influence of the type of transmitted traffic on the delivery time, which points at the inability to provide services to users in real time in the context of cyberattacks, as well as the expediency of limitation of the intensity of information exchange and the volumes of transmitted information. The impact on the data delivery time of such a parameter as the probability of network elements being available to the cybercriminal intelligence should be noted, which allows the malefactor to choose in advance the most vulnerable network elements to realize cyberattacks in the future. Therefore, it is advisable to organize information exchange over the data transmission network in such a way that information transmission is carried out each time along routes which have not been used before and network elements are included in the work only when the received packet is transmitted with a prerequisite for the implementation of methods for increasing the reliability of network authentication. This will allow one to reduce the delivery time of data packets significantly, which is explained by the fact that, in this case, in order to complicate information exchange, a malefactor will have to have an effect on the network elements during the time interval of data packet transmission along this route. However, the development of such an algorithm of the network function may be a further direction for studies to neutralize cyberattacks and this transcends the scope of this paper. 4. The realization of cyberattacks against the network elements influences not only the functioning quality indicators of the network, but also the real bandwidth of data transmission routes (Figure 11), which is defined as \(\lambda_{p}\ =\ \underset{l\rightarrow\infty}{lim}\frac{\frac{d}{T}F(t)}{1-F(t)} \approx\frac{1}{T_{r}}\), where \(T_{r}\) is the mathematical expectation of the time of the successful delivery of data packets. The weak dependence of the flow intensity values of successfully delivered packets and their closeness to \((1/T_{f})\) shows that when there is functioning in the context of malefactor information influences, the data flow at the output of the user's end equipment can be considered Poisson. The results of calculations show that if there is successful realization of a cyberattack, the flow intensity of delivered packets is reduced sharply. This fact can be an additional sign for the network administrator and users that the network was exposed to a cyberattack and it is necessary to realize measures to protect against the information impact of a malefactor. It can allow one to reduce the recovery time of the network functioning after a cyberattack by a malefactor.