大數(shù)據(jù)存儲中數(shù)據(jù)完整性驗證結(jié)果的檢測算法
發(fā)布時間:2018-11-01 10:53
【摘要】:云存儲作為云計算中最為廣泛的應(yīng)用之一,給用戶帶來了便利的接入和共享數(shù)據(jù)的同時,也產(chǎn)生了數(shù)據(jù)損壞和丟失等方面的數(shù)據(jù)完整性問題.現(xiàn)有的遠程數(shù)據(jù)完整性驗證中都是由可信任的第三方來公開執(zhí)行數(shù)據(jù)完整性驗證,這使得驗證者有提供虛假偽造的驗證結(jié)果的潛在威脅,從而使得數(shù)據(jù)完整性驗證結(jié)果不可靠,尤其是當他與云存儲提供者合謀時情況會更糟.提出一種數(shù)據(jù)驗證結(jié)果的檢測算法以抵御來自不可信驗證結(jié)果的偽造欺騙攻擊,算法中通過建立完整性驗證證據(jù)和不可信檢測證據(jù)的雙證據(jù)模式來執(zhí)行交叉驗證,通過完整性驗證證據(jù)來檢測數(shù)據(jù)的完整性,利用不可信檢測證據(jù)判定數(shù)據(jù)驗證結(jié)果的正確性,此外,構(gòu)建檢測樹來確保驗證結(jié)果的可靠性.理論分析和模擬結(jié)果表明:該算法通過改善有效的驗證結(jié)果來保證驗證結(jié)果的可靠性和提高驗證效率.
[Abstract]:Cloud storage, as one of the most widely used cloud computing applications, has brought users convenient access and sharing of data, but also caused data integrity problems such as data corruption and loss. In existing remote data integrity verification, data integrity verification is publicly performed by a trusted third party, which makes the verifier have the potential threat of providing false and falsified verification results, thus making the data integrity verification results unreliable. Especially if he conspires with a cloud storage provider. A detection algorithm for data verification results is proposed to resist forgery spoofing attacks from untrusted verification results. In the algorithm, cross-validation is performed by establishing dual evidence patterns of integrity verification evidence and untrusted detection evidence. The integrity of the data is detected by the integrity verification evidence, the correctness of the data verification result is determined by the untrusted detection evidence, and the reliability of the verification result is ensured by constructing the detection tree. Theoretical analysis and simulation results show that the algorithm can improve the reliability and efficiency of the verification results by improving the effective verification results.
【作者單位】: 東華大學計算機科學與技術(shù)學院;
【基金】:上海自然科學基金項目(15ZR1400900,15ZR1400300,16ZR1401100) 上海市教育科研項目(C160076) 國家自然科學基金項目(61402100,61772128) 同濟大學高密度人居環(huán)境生態(tài)與節(jié)能教育部重點實驗室種子基金項目 東華大學中央高;究蒲袠I(yè)務(wù)費專項資金項目(2232015D3-29)~~
【分類號】:TP333
[Abstract]:Cloud storage, as one of the most widely used cloud computing applications, has brought users convenient access and sharing of data, but also caused data integrity problems such as data corruption and loss. In existing remote data integrity verification, data integrity verification is publicly performed by a trusted third party, which makes the verifier have the potential threat of providing false and falsified verification results, thus making the data integrity verification results unreliable. Especially if he conspires with a cloud storage provider. A detection algorithm for data verification results is proposed to resist forgery spoofing attacks from untrusted verification results. In the algorithm, cross-validation is performed by establishing dual evidence patterns of integrity verification evidence and untrusted detection evidence. The integrity of the data is detected by the integrity verification evidence, the correctness of the data verification result is determined by the untrusted detection evidence, and the reliability of the verification result is ensured by constructing the detection tree. Theoretical analysis and simulation results show that the algorithm can improve the reliability and efficiency of the verification results by improving the effective verification results.
【作者單位】: 東華大學計算機科學與技術(shù)學院;
【基金】:上海自然科學基金項目(15ZR1400900,15ZR1400300,16ZR1401100) 上海市教育科研項目(C160076) 國家自然科學基金項目(61402100,61772128) 同濟大學高密度人居環(huán)境生態(tài)與節(jié)能教育部重點實驗室種子基金項目 東華大學中央高;究蒲袠I(yè)務(wù)費專項資金項目(2232015D3-29)~~
【分類號】:TP333
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