A Reliable and Secure Inter-And Intra-State Routing Protocol for VoIP communication
A Reliable and Secure Inter-And Intra-State Routing Protocol for VoIP communication
|© 2022 by IJETT Journal|
|Year of Publication : 2022|
|Authors : Vinod Kumar, Om Prakash Roy
|DOI : 10.14445/22315381/IJETT-V70I7P250|
How to Cite?
Vinod Kumar, Om Prakash Roy, "A Reliable and Secure Inter-And Intra-State Routing Protocol for VoIP communication" International Journal of Engineering Trends and Technology, vol. 70, no. 7, pp. 479-490, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I7P250
Technological advancements increase the demand for communication over a reliable Voice over Internet Protocol (VoIP) network. The data communication in such a network is often attacked by intruders, which requires the implementation of a secure system for transmission. This paper presents a robust data communication network in which the proposed structure consists of two block architectures: Inter-State Routing (INTER-SR) and Intra State Routing (INTRA-SR). This architecture handles the data communication for the intra-structure route, and the INTRA-SR block handles inter structure route and data communication over a network. The proposed work focuses on constructing the deployment model using the distance formula to attain appropriate route discovery by considering 60 nodes. The inter-state architecture is developed using the interpolation structure and Neural Network to classify the nodes. Further comparison is performed with the approach such as a support vector machine (SVM). The outcome is simulated, considering the classification accuracy, throughput, and packet delivery ratio (PDR) rate to determine its robustness. The network's reliability is tested by improvement in the throughput and the PDR, taking a ratio of how many nodes are accepted to be in the network. It is observed that the throughput increases significantly when there is an increase in the reliable nodes, whereas the PDR is radical. The results show that the PDR rate improved by 15% and the throughput rate revamped by 21% compared to other classification approaches.
Neural Network, Reliability, Security, Support Vector Machine, VoIP.
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