A FORENSIC WAY TO FIND SOLUTION FOR SECURITY CHALLENGES IN CLOUD SERVER THROUGH MAPREDUCE TECHNIQUE

Cloud computing is a large and distributed platform repository of user information. But also it is the extensively serves the security threats in the research aspect. This paper attempt to find the solution to the security challenges through the MapReduce technique in a forensic way. Mainly four security challenges will include in this paper that is losing the user information during the mapping process for different reasons such as the shutdown of the server, can cause parallel or unrelated services to get interrupted, the velocity of attack means that security threats amplify and spread quickly in the cloud, injecting malicious code, and finally information deletion. For these security challenges finding the solution through MapReduce and Dynamic Decomposition based distributed algorithm with the help of Hadoop and JavaBeans in the live forensic method. It includes Cloud Simulation and Document Clustering with forensic analysis. MapReduce is a software framework for effortlessly writing applications that develop from a massive amount of data in-parallel on large clusters of commodity hardware in a consistent, fault-tolerant mode. Also live forensics is the method also known as Live Response attempts to discover, control, and eliminate threats in a live system environment. So here this paper uses Hadoop's cloud simulation techniques that can give a live result.