Security Process in Hadoop Using Diverse Approach

Abstract

Today, data is one of the most important assets for nearly every sector of industry. Advances in information technology and widespread growth in various fields such as business, engineering, medicine, and scientific research have resulted in an explosion of data. This data explosion presents new challenges that traditional methods cannot handle. One of the biggest concerns of our time concerns the security and protection of sensitive information. In today's Big Data era, where organizations collect, analyse, and make decisions based on analysis of massive datasets from various sources, security in this process becomes more and more important. At the same time, more and more organizations need to enforce access controls and privacy restrictions on these records to meet regulatory requirements such as HIPAA and other privacy laws. Network security breaches by internal and external attackers are on the rise, often taking months to discover, and those affected pay the price. Organizations that fail to properly control access to records face lawsuits, negative publicity, and fines.