In critical infrastructure sectors, secure and efficient network design is paramount to ensure operational resilience, safeguard sensitive data, and mitigate cyber threats. This paper proposes a novel framework for designing secure broadband and Multi-Protocol Label Switching (MPLS) networks tailored to the unique demands of critical infrastructure. The framework emphasizes a layered security approach, combining advanced encryption protocols, intelligent traffic segmentation, and adaptive routing mechanisms to enhance network robustness. Leveraging cutting-edge technologies such as software-defined networking (SDN) and artificial intelligence (AI), the framework offers real-time threat detection, anomaly detection, and dynamic response capabilities, thereby minimizing vulnerabilities. A key feature of the proposed design is its scalability and flexibility, which enables seamless integration with existing network infrastructures while accommodating future technological advancements. The use of SDN simplifies network management and allows for centralized control, ensuring optimal performance and rapid adaptability to changing network conditions. Furthermore, the integration of AI-driven analytics enhances situational awareness by providing predictive insights into network performance and security risks. The framework also addresses compliance with industry standards and regulations, ensuring alignment with best practices for cybersecurity and data protection in critical infrastructure sectors. A case study is presented to validate the framework's effectiveness in a real-world setting, focusing on its application in the energy sector to secure data exchanges between distributed control systems and remote monitoring units. Results indicate significant improvements in network reliability, reduced latency, and strengthened security postures. This research provides a comprehensive roadmap for deploying secure broadband and MPLS networks, catering to the needs of critical infrastructure operators. It contributes to the broader discourse on resilient network design, offering practical insights for stakeholders aiming to bolster the security and efficiency of their communication networks.
Secure Broadband, MPLS, Critical Infrastructure, Network Design, Cybersecurity, Software-Defined Networking (SDN), Artificial Intelligence (AI), Threat Detection, Adaptive Routing, Compliance
IRE Journals:
Afees Olanrewaju Akinade , Peter Adeyemo Adepoju , Adebimpe Bolatito Ige , Adeoye Idowu Afolabi
"A Novel Framework for Secure Broadband and MPLS Network Design in Critical Infrastructure Sectors" Iconic Research And Engineering Journals Volume 6 Issue 7 2023 Page 430-449
IEEE:
Afees Olanrewaju Akinade , Peter Adeyemo Adepoju , Adebimpe Bolatito Ige , Adeoye Idowu Afolabi
"A Novel Framework for Secure Broadband and MPLS Network Design in Critical Infrastructure Sectors" Iconic Research And Engineering Journals, 6(7)