Multi-Cloud Trust Integrity-Based Security Management Architecture for Blockchain- Enhanced Secure Network Slicing Using CKBNA and SFDA

Why It Matters

By sealing cross‑cloud misconfigurations, the solution reduces data‑leakage risk and strengthens trust for enterprises adopting multi‑cloud network slicing.

Key Takeaways

• CKBNA algorithm reduces shared key error to 2.467%
• SFDA signature verification secures tenant data across cloud slices
• IpLUEN‑LSTM predicts optimal network slice resources in real time
• HGGaO optimization deploys slices with hyperbolic growth efficiency
• All slice transactions logged on blockchain for tamper‑proof audit

Pulse Analysis

Multi‑cloud deployments have become the backbone of modern digital services, yet they introduce complex security gaps, especially when virtual network slices share resources across providers. Traditional approaches often assume static configurations, leaving room for misconfigurations that can expose sensitive user data. As enterprises demand granular isolation and rapid provisioning, the industry is turning to advanced cryptographic primitives and AI‑driven orchestration to bridge the trust deficit inherent in distributed cloud fabrics.

The proposed architecture tackles these challenges head‑on by marrying cutting‑edge cryptography with intelligent resource management. The Crystals‑Kyber Bickley‑Naylor Algorithm (CKBNA) establishes shared keys with a remarkably low 2.467 % error rate, while the Struve Function‑based Dilithium Algorithm (SFDA) provides post‑quantum‑resistant signatures for data integrity. An Inverse‑polynomial Linear Unit EvoNorm‑LSTM model forecasts slice demand, feeding into Hyperbolic Growth Gazelle Optimization that allocates compute and storage with hyperbolic efficiency. Encryption via CKBNA‑ChaCha20 secures tenant payloads, and immutable blockchain logging guarantees tamper‑proof audit trails.

For the broader market, this integrated solution signals a shift toward provable security in network slicing, a prerequisite for 5G, edge computing, and AI workloads that span multiple clouds. Enterprises can now adopt slice‑as‑a‑service with confidence that cross‑cloud data leakage is mitigated, compliance requirements are met, and operational overhead is reduced. As standards bodies evaluate post‑quantum algorithms and cloud providers expose richer slice APIs, frameworks like this are poised to become reference architectures for secure, scalable multi‑cloud ecosystems.