Security framework using Hadoop for big data
Prashant Johri, Arun Kumar, Sanjoy Das, Sanchita Arora · 2017
Data security is a dominant challenge in the era of big data. These challenges comprise insurance against violation of information security and data leakage, clarity and accuracy in public databases, and third party data distribution. How to exploit security and surreptitious policies constitute a foremost challenge, notably when managing huge amount of distributed data? This paper suggested a framework for secure, insightful, and high-speed data storage and accessibility on big data platform. We present a Kerberos network authentication protocol to securely access the sensitive as well as clumsy data. The framework protects the security of owner's data effectively, shares it unwarily, and at the same time provides high-speed secure access to the data.