Securing Blue Carbon Accounting: A Cryptographic Framework for Coastal Ecosystem Monitoring
ブルーカーボン会計の保護：沿岸生態系モニタリングのための暗号フレームワーク (AI 翻訳)
H. Wahsheh
🤖 gxceed AI 要約
日本語
この論文は、ブルーカーボン生態系の炭素隔離能力を活用するための、監視・報告・検証（MRV）に準拠した暗号フレームワークを提案する。IoTセンサーとブロックチェーンを統合し、ECDSA署名やAES-GCM暗号化、ハッシュチェーンログ、秘密計算（SMC）を用いて、エンドツーエンドのデータ改ざん防止とプライバシー保護を実現する。50回の攻撃シミュレーションで100%の検出率、IoTレイテンシ10ms未満、ブロックチェーンスループット145 tpsを達成し、運用オーバーヘッドを抑えつつ高いセキュリティを実証した。
English
This paper proposes a compliance-aware cryptographic framework for blue carbon accounting that ensures end-to-end data integrity and privacy throughout the MRV workflow. It integrates IoT sensors with blockchain using ECDSA signatures, AES-GCM encryption, hash-chained logs, and secure multiparty computation. Experiments show 100% attack detection, sub-10ms IoT latency, and 145 tps blockchain throughput, demonstrating that robust security is feasible without prohibitive overhead.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のブルーカーボン市場は拡大しており、Jブルークレジット制度の信頼性向上に資する。暗号技術によるMRVの自動化は、自治体や企業のカーボンクレジット認証プロセスに革新をもたらす可能性がある。
In the global GX context
As blue carbon credits gain traction in voluntary carbon markets, this cryptographic framework addresses the critical need for tamper-proof MRV. It provides a blueprint for integrating cryptographic assurances into carbon accounting infrastructure, which is highly relevant for ISSB and emerging disclosure standards.
👥 読者別の含意
🔬研究者:Demonstrates that strong cryptographic guarantees can be achieved for carbon accounting without computational overhead, paving the way for automated MRV systems.
🏢実務担当者:Provides a reference architecture for deploying secure IoT-blockchain systems for blue carbon monitoring, ensuring credit integrity.
🏛政策担当者:Highlights the necessity of data provenance and cryptographic audit trails in carbon credit regulations, relevant for Japan's J-Credit scheme.
📄 Abstract（原文）
Blue carbon ecosystems have significant long-term carbon sequestration capacity, making them an important nature-based solution for climate change mitigation. However, monitoring and accounting processes are increasingly dependent on distributed IoT sensors, satellite remote sensing, and cloud-based analytics platforms. This growing digitalization exposes the blue carbon data lifecycle to risks such as tampering, unauthorized access, and loss of data provenance. A compliance-aware cryptographic framework is presented to secure blue carbon accounting throughout the end-to-end process, from in situ measurement to carbon credit verification. In contrast with generic IoT–blockchain architectures, the framework binds sensing devices to national Public Key Infrastructure (PKI) identities and produces audit-ready cryptographic evidence aligned with Monitoring, Reporting, and Verification (MRV) workflows. The design employs the Elliptic Curve Digital Signature Algorithm (ECDSA) to ensure authenticity and non-repudiation, Advanced Encryption Standard in Galois/Counter Mode (AES-GCM) encryption for confidentiality, a hash-chained log for ordered integrity, and Secure Multiparty Computation (SMC) for privacy-preserving validation. Experimental results under simulated attacks (n = 50) demonstrate a 100% detection rate across the evaluated tampering scenarios, while maintaining an average IoT-layer cryptographic latency below 10 ms and a blockchain throughput of 145 transactions per second, exceeding the requirements for continuous ecosystem monitoring. These findings indicate that strong lifecycle-wide cryptographic guarantees can be achieved without imposing prohibitive computational overhead.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.14569/ijacsa.2026.0170269first seen 2026-06-29 08:20:20
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。