Big Data Security: Reducing the Risk of Integrating Hadoop

Paul M. Wright

商品描述

Big Data security enablesproducts like Hadoop to provide new knowledge in a secure fashion. Big data brings together many previously separate units of data that were partially secured by their host’s technical inability to share that data seamlessly. The potential for data breach in a big data solution is huge. New processes and technology solutions are needed to enable sensitive data to be brought together safely allowing differential privacy, while simultaneously providing new knowledge from the aggregated results. This practical book shows how to protect Hadoop data from unauthorized access, and limit the ability of an attacker to corrupt or modify data in the event of a security breach.

 

商品描述(中文翻譯)

大數據安全使得像Hadoop這樣的產品能夠以安全的方式提供新的知識。大數據將許多以前分開的數據單元聚合在一起,這些數據單元以前只能部分地由它們的主機進行安全保護,因為主機無法無縫地共享這些數據。大數據解決方案中的數據洩露風險是巨大的。需要新的流程和技術解決方案,以安全地將敏感數據聚合在一起,同時實現差分隱私,並從聚合結果中提供新的知識。這本實用書展示了如何保護Hadoop數據免受未經授權的訪問,並在安全漏洞事件中限制攻擊者損壞或修改數據的能力。