Big Data Security: Reducing the Risk of Integrating Hadoop
暫譯: 大數據安全:降低整合Hadoop的風險
Paul M. Wright
- 出版商: Auerbach Publication
- 出版日期: 2025-01-01
- 售價: $2,570
- 貴賓價: 9.5 折 $2,442
- 語言: 英文
- 頁數: 320
- 裝訂: Hardcover
- ISBN: 1498738192
- ISBN-13: 9781498738194
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相關分類:
Hadoop、大數據 Big-data、資訊安全
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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。大數據將許多先前分開的數據單元聚集在一起,這些數據單元因其主機的技術無法無縫共享而部分受到保護。在大數據解決方案中,數據洩露的潛在風險是巨大的。需要新的流程和技術解決方案來安全地整合敏感數據,實現差異隱私,同時從聚合結果中提供新的知識。本書實用地展示了如何保護 Hadoop 數據免受未經授權的訪問,並限制攻擊者在安全漏洞發生時竄改或修改數據的能力。