QoS-Based Machine Learning Approach for Security of VoIP Services
QoS-Based Machine Learning Approach for Security of VoIP Services
|© 2022 by IJETT Journal|
|Year of Publication : 2022|
|Authors : Vinod Kumar, Om Prakash Roy
|DOI : 10.14445/22315381/IJETT-V70I2P225|
How to Cite?
Vinod Kumar, Om Prakash Roy, "QoS-Based Machine Learning Approach for Security of VoIP Services," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 222-233, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I2P225
Voice over Internet Protocol (VoIP) involves the process of voice transmission via the internet in the form of data packets. VoIP faces several problems related to Quality of Service (QoS) issues like missing of data packets, delay, jitter and latency, resulting in poor voice quality. To improve VoIP services, the authors proposed a network design using a machine learning approach and calculated the quality of voice communication. Further, considered the number of nodes in the proposed work ranging from 5 to 30 and calculated the results with two scenarios, one before the attack and another after the attack. The results with the proposed approach as compared to the existing approach exhibit lower packet loss, throughput, latency and jitter. The proposed approach demonstrated the better QoS for the VoIP network, which is an improvement as compared to the existing approach.
VoIP, machine learning, QoS, ABC, SVM, ANN.
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