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A Novel Preserving Client Privacy and Designate Verifier Auditing Scheme for Cloud Storage
Jiang Xu,Wenliang Chen,Sai Ji,Yongjun Ren,Jin Wang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.1
Cloud storage is now an important development trend in information technology. To ensure the integrity of data storage in cloud storing, researchers have present some proof of storage schemes. In some cases, the ability to check data possession is delegated by data owners. Hence, the delegable provable data possession and proxy provable data possession are proposed. However the schemes are not secure since the proxy or designated verifier stores some delegation information in cloud storage servers. In this paper, we propose PC-DV POS scheme, which can preserve clients’ privacy and designate a verifier by the client signed the data blocks. In particular, we utilize group signatures and key exchange to construct homomorphic authenticators, so that only the designated verifier is able to check the integrity of shared data for users without retrieving the entire data, and cannot reveal the identities of signers on all blocks in shared data.
Jiashu Hao,Qingying Ren,Xingqian Li,Xizhi Zhang,Yongjun Ding,Shaohua Zhang 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.45 No.1
The seismic performance of the reinforced concrete (RC) special-shaped column to steel beam connections with steel jacket used in the RC column to steel beam fabricated frame structures was investigated in this study. The three full-scale specimens were subjected to cyclic loading. The failure mode, ultimate bearing capacity, shear strength capacity, stiffness degradation, energy dissipation capacity, and strain distribution of the specimens were studied by varying the steel jacket thickness parameters. Test results indicate that the RC special-shaped column to steel beam connection with steel jacket is reliable and has excellent seismic performance. The hysteresis curve is full and has excellent energy dissipation capacity. The thickness of the steel jacket is an important parameter affecting the seismic performance of the proposed connections, and the shear strength capacity, ductility, and initial stiffness of the specimens improve with the increase in the thickness of the steel jacket. The calculation formula for the shear strength capacity of RC special-shaped column to steel beam connections with steel jacket is proposed on the basis of the experimental results and numerical simulation analysis. The theoretical values of the formula are in good agreement with the experimental values.
An Integrated Artificial Neural Network-based Precipitation Revision Model
( Tao Li ),( Wenduo Xu ),( Li Na Wang ),( Ningpeng Li ),( Yongjun Ren ),( Jinyue Xia ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.5
Precipitation prediction during flood season has been a key task of climate prediction for a long time. This type of prediction is linked with the national economy and people's livelihood, and is also one of the difficult problems in climatology. At present, there are some precipitation forecast models for the flood season, but there are also some deviations from these models, which makes it difficult to forecast accurately. In this paper, based on the measured precipitation data from the flood season from 1993 to 2019 and the precipitation return data of CWRF, ANN cycle modeling and a weighted integration method is used to correct the CWRF used in today’s operational systems. The MAE and TCC of the precipitation forecast in the flood season are used to check the prediction performance of the proposed algorithm model. The results demonstrate a good correction effect for the proposed algorithm. In particular, the MAE error of the new algorithm is reduced by about 50%, while the time correlation TCC is improved by about 40%. Therefore, both the generalization of the correction results and the prediction performance are improved.