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A Forensic Way to Find Solutions for Security Challenges in Cloudserver Through MapReduce Technique
Abstract
Cloud computing is a large and distributed platform repository of user information. But it also extensively serves the security threats in the research aspect. This chapter attempts to find the solution to the security challenges through the MapReduce technique in a forensic way. Four security challenges are included in this chapter: losing the user information during the mapping process for different reasons such as the shutdown of the server, which causes parallel or unrelated services to get interrupted; the velocity of attack, which enables security threats to amplify and spread quickly in the cloud; injecting malicious code; and finally information deletion. MapReduce and dynamic decomposition-based distributed algorithm with the help of Hadoop and JavaBeans in the live forensic method is used to find solution to the problem. MapReduce is a software framework and live forensics is the method attempting to discover, control, and eliminate threats in a live system environment. This chapter uses Hadoop's cloud simulation techniques that can give a live result.
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