Proposes an end-to-end encryption-verification co-design integrating HMR integrity structuring with EMR hybrid encapsulation for secure marine observation data delivery.
The HMR + EMR hybrid scheme, published in Sensors in February 2026, integrates Hybrid Multi-Resolution Hashing (HMR) and an Efficient Modular Encryption Routine (EMR) to secure marine data over disrupted, high-loss links. HMR uses entropy-aware partitioning for block-level integrity verification, while EMR combines RSA-2048 key negotiation with AES-GCM symmetric encryption for secure encapsulation.
Experimental results on synthetic multimodal ocean datasets demonstrate that this co-design achieves a 10.4% storage overhead (lower than the 12.8% of traditional SHA-256 + RSA + AES) and a 6.8 ms hashing latency (45.6% faster than SHA-256). The total encryption–decryption latency is 80.1 ms, which is 21.2% lower than standard RSA + AES methods, enabling efficient, verifiable transmission without requiring continuous session connectivity.
Overview. This material proposes a hybrid hash–encryption architecture for secure transmission and verification of marine scientific research data. It is presented as an end-to-end co-design in which data integrity and confidentiality are addressed together rather than as separate, loosely coupled protections. The scheme combines HMR-based integrity structuring with EMR hybrid encapsulation, allowing observations to be organized for hash-based verification and then packaged for encrypted delivery while preserving the context needed for scientific use, such as record relationships, metadata, and provenance information.
Key contributions. The main contribution is the integration of hash-based integrity checks with a hybrid encryption/encapsulation pipeline, so that tamper detection and authentication are embedded in the transmission format itself. Rather than relying solely on transport-layer security or post-hoc checksums, the design binds integrity structures to encrypted containers, enabling recipients to verify that received marine observation data have not been altered or corrupted without exposing the underlying data. This is especially relevant for marine platforms that may operate over lossy, heterogeneous, or partially untrusted networks and require lightweight, auditable protection mechanisms.
Significance. The work matters because marine research data support climate monitoring, ocean forecasting, ecosystem assessment, and other high-stakes scientific applications where data credibility is essential. By co-designing encryption and verification, the scheme addresses a practical gap in secure delivery of distributed oceanographic data: it helps protect sensitive or proprietary observations while also supporting verifiable integrity for public scientific records. In doing so, it helps downstream consumers distinguish legitimate measurements from corrupted, spoofed, or maliciously altered data.