Autonomic Resilience in Cybersecurity: Designing the Self-Healing Network Protocol for Next-Generation Software-Defined Networking
Naresh Kumar Bhagavatham, Bandi Rambabu, Jaibir Singh, Pratibha Dileep, T. Aditya Sai Srinivas, M Bhavsingh, P. Hussaın Basha
Abstract
This study rigorously compares the Self-Healing Network Protocol (SHNP) with a traditional protocol, utilizing simulations and data analysis to examine crucial network performance metrics.The research meticulously assesses latency averages—a critical measure of network responsiveness; peak data transfer rates, indicative of the network's throughput capabilities; average resource utilization, reflective of network efficiency; and resilience ratings, which gauge the network's ability to withstand and recover from operational perturbations. The SHNP emerges as a robust solution, significantly lowering latency to an average of 38.53 milliseconds, thereby facilitating expedited real-time data transmission. It also achieves notable resource utilization efficiency, evidenced by a 48.14% improvement, and shows enhanced resilience with a rating near 1.47, solidifying its superior dependability in challenging conditions. Conversely, the conventional protocol shines in its peak data transfer rate, reaching around 860.05 Mbps, which may be advantageous in situations demanding high-speed data handling. The insights derived from this analysis are pivotal for network managers and strategists, offering a nuanced perspective that supports strategic decision-making in protocol selection to meet precise network performance goals and adapt to specific operational contexts. This study underscores the dynamic evolution of network protocols and serves as a guidepost for stakeholders in selecting the most fitting protocol to meet their network's unique needs and challenges.