大數(shù)據(jù)存儲(chǔ)中數(shù)據(jù)完整性驗(yàn)證結(jié)果的檢測(cè)算法
[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(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院;
【基金】:上海自然科學(xué)基金項(xiàng)目(15ZR1400900,15ZR1400300,16ZR1401100) 上海市教育科研項(xiàng)目(C160076) 國家自然科學(xué)基金項(xiàng)目(61402100,61772128) 同濟(jì)大學(xué)高密度人居環(huán)境生態(tài)與節(jié)能教育部重點(diǎn)實(shí)驗(yàn)室種子基金項(xiàng)目 東華大學(xué)中央高;究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金項(xiàng)目(2232015D3-29)~~
【分類號(hào)】:TP333
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