Research On Distributed Aggregation Audit Method Of Data Integrity In Cloud Storage

With the advent of the data era,the traditional production management methods of all walks of life have undergone profound and revolutionary changes.Data information is the main object and core resource of information activities.How to ensure the integrity of data information in the management process has become a hot topic in both academic and practical applications.Cloud storage,as an effective way to store,use,and manage data resources,faces enormous security challenges while providing storage services for people.When data owners upload data to the cloud,the data may be subject to threats of loss,corruption,malicious attacks,and tampering.The data integrity auditing method is an effective way to ensure the safe storage of data in the cloud.It can quickly and accurately identify the damaged data and ensure that the data can be discovered in time after being tampered.This paper takes the data integrity in cloud storage as the research object.The traditional public auditing scheme can easily cause single point of failures,audit jams,and other issues.To solve this problem,we use Hadoop distributed platform to process audit tasks in parallel,and the load-balancing based dynamic delay scheduling algorithm(LBDDS)is used to load-grade the audit agent nodes.Based on factors such as the actual load of the distributed auditing agent node,the network transmission rate,and the number of data integrity audit tasks to be performed,the delay threshold for waiting time is flexibly set.This not only ensures the overall audit efficiency of the solution,but also takes into account the data locality to a certain extent.The experimental analysis shows that this scheme uses Hadoop distributed auditing agent to process the verification task in parallel,fully exerts the performance of the auditing agent node and improves the auditing efficiency.The LBDDS algorithm is used to dynamically schedule audit tasks to avoid the load overload of the audit nodes.Compared with the traditional FIFO,SAA,and DDS scheduling algorithms,the actual audit task load of the distributed audit agent is relatively balanced and the load balance is relatively low.Integrity audits have a shorter overall response time.