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牡蠣供應(yīng)鏈生物風(fēng)險(xiǎn)因子溯源隱私數(shù)據(jù)加密共享方法研究
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2023YFF0614404)和江蘇省科技計(jì)劃(重點(diǎn)研發(fā)計(jì)劃現(xiàn)代農(nóng)業(yè))項(xiàng)目(BE2023315)


Research on Method of Encrypted Sharing of Privacy Data for Tracing Biological Risk Factors in Oyster Supply Chain
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    摘要:

    牡蠣農(nóng)產(chǎn)品在市場(chǎng)流通過程中可能攜帶傳帶性病毒、細(xì)菌等生物風(fēng)險(xiǎn)因子,已在多個(gè)國(guó)家引發(fā)頻繁的生物安全事件。生物風(fēng)險(xiǎn)檢測(cè)數(shù)據(jù)具有顯著的隱私性特點(diǎn),風(fēng)險(xiǎn)檢測(cè)信息的不當(dāng)泄露會(huì)造成公共衛(wèi)生安全威脅。提出了一種基于區(qū)塊鏈的牡蠣供應(yīng)鏈生物風(fēng)險(xiǎn)因子隱私數(shù)據(jù)加密共享方法,通過對(duì)供應(yīng)鏈中各個(gè)環(huán)節(jié)生物風(fēng)險(xiǎn)因子檢測(cè)的數(shù)據(jù)進(jìn)行加密上鏈存儲(chǔ),保證數(shù)據(jù)安全共享,風(fēng)險(xiǎn)源頭可追溯。該方法基于屬性的可搜索加密算法對(duì)生物風(fēng)險(xiǎn)因子檢測(cè)數(shù)據(jù)進(jìn)行訪問控制和隱私保護(hù),并構(gòu)建加密倒排索引進(jìn)行查詢效率的優(yōu)化,通過可搜索加密算法和倒排索引的結(jié)合實(shí)現(xiàn)快速定位到相關(guān)風(fēng)險(xiǎn)批次貨物的詳細(xì)數(shù)據(jù)。實(shí)驗(yàn)測(cè)試結(jié)果表明,生物風(fēng)險(xiǎn)檢測(cè)數(shù)據(jù)關(guān)鍵詞的加密時(shí)間平均為31ms,陷門生成時(shí)間平均為32ms,可搜索密文與陷門的匹配時(shí)間平均為16ms。監(jiān)管者通過密文倒排索引查詢風(fēng)險(xiǎn)牡蠣農(nóng)產(chǎn)品相關(guān)數(shù)據(jù)的平均時(shí)間為385ms,并基于以太坊區(qū)塊鏈平臺(tái)構(gòu)建了原型系統(tǒng),實(shí)現(xiàn)生物風(fēng)險(xiǎn)因子密文隱私數(shù)據(jù)上鏈存儲(chǔ)和追溯查詢等功能,結(jié)果表明該方法能夠滿足牡蠣供應(yīng)鏈隱私數(shù)據(jù)共享場(chǎng)景需求,為牡蠣生物風(fēng)險(xiǎn)監(jiān)管提供技術(shù)支撐。

    Abstract:

    Oyster agricultural products may carry transmissible viruses, bacteria, and other biological risk factors during their market circulation, which has caused frequent biosecurity incidents in many countries and seriously threatened people’s health. The privacy characteristics of biological risk detection data are significant, and the improper disclosure of biological risk detection information can pose a threat to public health security. A privacy-preserving data encryption and sharing method for oyster supply chain biological risk factors was proposed based on blockchain technology. By encrypting and storing biological risk factor detection data from various links in the supply chain on the blockchain, data security and sharing were ensured, and the source of the risk can be traced back. The method used attribute-based searchable encryption algorithms to perform access control and privacy protection on biological risk factor detection data, and an encrypted inverted index for query efficiency optimization was constructed. By combining searchable encryption algorithms and inverted indices, rapid location of relevant risk batch goods’ detailed data was achieved. The experimental test results showed that the average encryption time of biological risk detection data keyword was 31ms, the average trapdoor generation time was 32ms, and the average matching time of searchable ciphertext and trapdoor was 16ms. The average time for regulators to query risk oyster agricultural product-related data through encrypted inverted index was 385ms, and a prototype system was built on the Ethereum blockchain platform to realize the functions of biological risk factor encrypted privacy data storage and traceability query. The results showed that the method can meet the demand of privacy data sharing scenarios in oyster supply chain and provide technical support for oyster biological risk regulation.

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孫傳恒,張軍,羅娜,徐大明,陳楓,邢斌.牡蠣供應(yīng)鏈生物風(fēng)險(xiǎn)因子溯源隱私數(shù)據(jù)加密共享方法研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2025,56(5):577-588. SUN Chuanheng, ZHANG Jun, LUO Na, XU Daming, CHEN Feng, XING Bin. Research on Method of Encrypted Sharing of Privacy Data for Tracing Biological Risk Factors in Oyster Supply Chain[J]. Transactions of the Chinese Society for Agricultural Machinery,2025,56(5):577-588.

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  • 收稿日期:2024-12-26
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  • 在線發(fā)布日期: 2025-05-10
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