Enhancing data authentication in software-defined networking (SDN) using multiparty computation

Enhancing data authentication in software-defined networking (SDN) using multiparty computation

연구 분야: Cryptography

학회: Cluster Computing

In software-defined networking (SDN), where software assumes a progressively prominent position in the network administration, it becomes imperative to emphasize the enhancement of data authentication and non-repudiation methodologies. The study presents a novel approach that incorporates Multi-Party Computation (MPC) into symmetric systems to enhance data authentication inside SDN settings. The use of MPC ensures the timely authentication of identities, prevention of repudiation, and maintenance of data accuracy, while simultaneously protecting the confidentiality of sensitive data and parameters. The evaluation of our technique’s performance is accomplished through rigorous simulations utilising NS-3. The simulations yielded positive results in terms of packet delivery ratio, end-to-end delay, and throughput. The findings of the research illustrate that the proposed approach demonstrates consistent efficacy and reliability, even under conditions of heightened network node density. This study presents a complete methodology aimed at enhancing data authentication in SDN. This paper examines the increasing security challenges associated with cloud-based SDN solutions. This research demonstrates a significant progress in the quest for a secure and efficient SDN environment, setting new standards for data authentication and non-repudiation.