Big Data Security Issues: A Review

Abstract

Terms such as security and privacy are significant when discussing big data topics. Security for big data can be defined as the tools and techniques needed to protect both data and analytical operations. The primary goal behind big data security is to protect valuable data from attacks, stolen data, and other destructive actions. For cloud-based businesses, big data security concerns are multifaceted. These dangers include theft of data stored online, malware, and DDoS attacks that may bring a system to a halt. These risks may have severe financial consequences for the company, including losses, legal expenses and penalties. The use of cloud technologies for storing and managing substantial amounts of data and its associated applications brought a new element to the challenge concerning data security and privacy across substantial amounts of data. Data validation must be performed to ensure the stored data is effectively managed. Multiple layers of encrypted protection are recommended to ensure protection for users in the event of any worst-case scenario, especially a security data breach.