Abstract: As cloud and edge computing evolve into foundational elements of national digital infrastructure, security concerns remain at the forefront, particularly in emerging markets like Cameroon. This study examines the security challenges within Camtel’s cloud-edge ecosystem, identifying critical vulnerabilities, evaluating mitigation strategies, and proposing a multi-layered security framework. We integrate AI-enhanced Intrusion Detection Systems (AI-IDS), Trusted Execution Environments (TEEs), and Blockchain-based audit logging to strengthen authentication, data integrity, and threat detection. Through STRIDE-based threat modeling and experimental validation, we assess security-performance trade-offs, quantifying latency, throughput, and power consumption impacts across various configurations. Results indicate that while TEEs and AI-IDS significantly enhance system resilience, they introduce resource overhead that requires careful optimization. The study provides strategic recommendations for secure cloud-edge adoption, contributing to Cameroon’s national cybersecurity framework while offering insights applicable to broader edge computing deployments. The study also highlights current threats, evaluates Camtel’s evolving infrastructure, and proposes actionable security frameworks to ensure resilience, data sovereignty, and trust in public services.

Cloud Computing, Edge Computing, Cybersecurity, Trusted Execution Environments (TEEs), AI-Enhanced Intrusion Detection, Blockchain Security, National Infrastructure, STRIDE Threat

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