Research On Confidential Electronic Documents Management And Control Technology In Cloud Environment

With the advance of information process,electronic documents become more and more popular.The number of electronic documents of government and small businesses has far exceeded the paper documents.Cloud storage technology can not only effectively solve the problem of massive electronic documents storage but also reduce the cost of internal files storage.However,on the one hand,electronic document itself is easy to copy,modify and spread,and on the other hand,cloud storage environment is transparent and semi-credible,so the safety and reliability of dense electronic documents cannot be guaranteed,which bring the huge challenge to security control of classified electronic documents in cloud storage environment.The goal of security control of classified electronic documents is to prevent the cloud service providers or non-authorized users from illegal disclosure,or mining and analysis of classified information documents.At first,In view of the problems--it takes too long for the encryption process of traditional electronic documents management methods and the security of privacy data cannot be guaranteed,combined with digital tag encryption technology,this paper designs a dense electronic documents multi-attributes digital tag and studies the document encryption segmentation and reduction method.Then through the learning of HDFS file storage system,design the files lice storage model based on the HDFS file storage system.What's more,the efficient reduction technology of error data blocks in the model is discussed.Finally,experiments realize the files lice storage prototype system and test the performances of the system and file encryption segmentation algorithm.The main research contents in this paper as follows:Firstly,study the generation method of classified electronic documents based multi-attributes digital tag,including dense file attributes,security level,digital tag attributes,behavioral attributes,and determination of log attributes.Especially,encryption segmentation of classified electronic documents based on the multi-attributes digital tag is focused on.Secondly,through the learning of HDFS file storage system,design the files lice storage model based on STAR coding.Thirdly,research the reduction technology of error data blocks.And according to the different ways of error data blocks,determine the technology of dynamic recovery and persistence recovery.Finally,files lice storage prototype system is deployed in virtual machine environment.Then test the performances of the prototype system and file encryption segmentation algorithm by experiments.Starting from the problem that electronic documents are easy to illegally steal,this paper studies the encryption segmentation and encryption reduction of documents,builds files lice storage model based on STAR coding and researches the reduction technology of error data blocks according to the different ways of error data blocks.Finally,the performances of files lice storage prototype system and file encryption segmentation algorithm are analyzed.The study shows that the proposed files lice storage system in this paper has high reliability and safety.The most important thing is that this system can effectively realize the fine-grained security control of dense electronic documents.