Research On Data Management And Control Mechanism In Data Sharing Scenario

The development of social services such as social networking and e-commerce has opened up an era of large-scale production and application of data,which makes data an asset,and sharing transactions has become an effective means to promote the development of related industries.However,in the current data sharing solutions,there are problems such as untrustworthy platform,unspecified laws,unsmooth channels,and non?standard standards,which makes many companies unable to confidently exchanging and sharing data.On the other hand,since sharing data requires external access to the enterprise's data center,the huge access request gives the outside world the possibility of privacy analysis of the enterprise,which is also a problem that current data sharing is difficult to be effective in real time.To this end,this paper proposes a data sharing management and control scheme,using blockchain and software-defined network(SDN)and other emerging technologies to achieve security in the process of data sharing transactions from both data sources and data.The main work and innovations of this paper are as follows:(1)We designed a data sharing management and control solution to provide data sharing authorization record traceability to achieve security for data and data providers.In the scheme,we use the blockchain technology to realize the distributed record of data sharing records,which can provide decentralized and non-tamperable secure and reliable transaction data storage to ensure the data use can be confirmed.At the same time,we are based on the SDN network.The data center traffic anonymization guarantee scheme is implemented to prevent malicious detection and analysis of the data center.(2)We analyze and organize the existing blockchain consensus algorithm,and propose an improved DPoS consensus algorithm,which can better adapt to the characteristics of large transaction volume and untrustworthy network in the data sharing scenario.At the same time,we combine the PBFT algorithm to circumvent the risk of malicious divergence of the traditional DPoS algorithm agent,and provide a more secure service guarantee.At the same time,we verify the correctness and performance of the algorithm.(3)We study the traffic anonymization in the SDN environment to ensure that the internal topology and routing information of the data center are not analyzed and detected by the outside world.Under the SDN network,a fast traffic anonymization scheme based on random processing function is implemented,which can provide anonymized traffic processing with an additional delay of no more than 3%.At the same time,the analysis optimizes the number of additional flow tables introduced by the anonymization process and reduces the impact on the performance of the switch.We simulated the proposed scheme on the Mininet simulation network,which proves that this scheme can provide better anonymity when introducing lower delay.