A Hybrid Hash–Encryption Scheme for Secure Transmission and Verification of Marine Scientific Research Data

Marine scientific observation missions operate over disrupted, high-loss links and must keep heterogeneous sensor, image, and log data confidential and verifiable under fragmented, out-of-order delivery. This paper proposes an end-to-end encryption-verification co-design that integrates HMR integrity structuring with EMR hybrid encapsulation. By externalizing block boundaries and maintaining a minimal receiver-side verification state, the framework supports block-level integrity/provenance verification and selective recovery without continuous sessions, enabling multi-hop and intermittent connectivity. Experiments on a synthetic multimodal ocean dataset show reduced storage/encapsulation overhead (10.4% vs. 12.8% for SHA-256 + RSA + AES), lower hashing latency (6.8 ms vs. 12.5 ms), and 80.1 ms end-to-end encryption-decryption latency (21.2% lower than RSA + AES). Under fragmentation, verification latency scales near-linearly with block count (R<sup>2</sup> = 0.998) while throughput drops only slightly (11.8 → 11.3 KB/ms). With 100 KB blocks, transmission latency stays below 1.024 s in extreme channels and around 0.08-0.10 s in typical ranges, with expected retransmissions < 0.25. On Raspberry Pi 4, runtime slowdown remains stable at ~3.40× versus a PC baseline, supporting deployability on resource-constrained nodes.

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Publication Details

Journal
Sensors
Published
2026-02-03
DOI
https://doi.org/10.3390/s26030994
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
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article

A Hybrid Hash–Encryption Scheme for Secure Transmission and Verification of Marine Scientific Research Data

Hanyu Wang, Mo Chen, Maoxu Wang, Min Yang
Sensors
Cryptographic Implementations and Security
article

A Hybrid Hash–Encryption Scheme for Secure Transmission and Verification of Marine Scientific Research Data

Hanyu Wang, Mo Chen, Maoxu Wang, Min Yang
article en

Abstract

Marine scientific observation missions operate over disrupted, high-loss links and must keep heterogeneous sensor, image, and log data confidential and verifiable under fragmented, out-of-order delivery. This paper proposes an end-to-end encryption-verification co-design that integrates HMR integrity structuring with EMR hybrid encapsulation. By externalizing block boundaries and maintaining a minimal receiver-side verification state, the framework supports block-level integrity/provenance verification and selective recovery without continuous sessions, enabling multi-hop and intermittent connectivity. Experiments on a synthetic multimodal ocean dataset show reduced storage/encapsulation overhead (10.4% vs. 12.8% for SHA-256 + RSA + AES), lower hashing latency (6.8 ms vs. 12.5 ms), and 80.1 ms end-to-end encryption-decryption latency (21.2% lower than RSA + AES). Under fragmentation, verification latency scales near-linearly with block count (R<sup>2</sup> = 0.998) while throughput drops only slightly (11.8 → 11.3 KB/ms). With 100 KB blocks, transmission latency stays below 1.024 s in extreme channels and around 0.08-0.10 s in typical ranges, with expected retransmissions < 0.25. On Raspberry Pi 4, runtime slowdown remains stable at ~3.40× versus a PC baseline, supporting deployability on resource-constrained nodes.

SensorsVol. 26(3)
Ministry of Natural Resources (RW)
Life below water
Openalex Percentile: Top 70%
Cryptographic Implementations and Security
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