SECURE AUTHENTICATION WITH DYNAMIC RESOURCE ALLOCATION IN SOFTWARE-DEFINED NETWORKS

Abstract

This study created a three phase process to reinforce the security, authentication, and link quality management by utilizing new methods for communication flow in a Software-Defined Network (SDN) system. Firstly, this process will strive to improve the Protected Extensible Authentication Protocol (PEAP), an authentication method for SDN, through cryptographic algorithms to strengthen security with constructs of forward secrecy and dynamic key exchange. Secondly, it will also address quality of service (QoS) and use the Weighted Fair Queuing (WFQ) method with the Improved Whale Optimization Algorithm (IWOA) for dynamic management of efficient resource allocation. Thirdly, the study will introduce a brand-new algorithm, Authenticated Utility-aware REsource scheduling with Whale Optimization Algorithm (AUREWOA), composed of authentication functions, utility based scheduling, and adaptive resource allocation in order to succeed maximum performance for the network. Lastly, performance evaluation in the simulations has been shown to have AUREWOA is outperformed compared to other exiting methods across all traffic loads. AUREWOA outperforms in the fundamental measurements: Link Quality Index (LQI), Packet Delivery Ratio (PDR), End-to-End Delay, Throughput, Packet Loss Rate (PLR), and Computation Time while also being viable and stable in scenarios involving traffic overhead. The outcome of the experiment indicates that AUREWOA is scalable, flexible and viable in networks that place constraints on resources; these two priority areas are perfect for dynamic media, and shared real-time applications such as Internet of Things (IoT).