Threat Forecasting: Leveraging Big Data for Predictive Analysis
暫譯: 威脅預測:利用大數據進行預測分析
John Pirc, David DeSanto, Iain Davison, Will Gragido
- 出版商: Syngress Media
- 出版日期: 2016-05-17
- 售價: $2,050
- 貴賓價: 9.5 折 $1,948
- 語言: 英文
- 頁數: 188
- 裝訂: Paperback
- ISBN: 0128000066
- ISBN-13: 9780128000069
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相關分類:
大數據 Big-data、Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. Readers will gain valuable security insights into unstructured big data, along with tactics on how to use the data to their advantage to reduce risk.
- Presents case studies and actual data to demonstrate threat data visualization techniques and threat simulation tools
- Explores the usage of kill chain modelling to inform actionable security intelligence
- Demonstrates a methodology that can be used to create a full threat forecast analysis for enterprise networks of any size
商品描述(中文翻譯)
根據多年的實務經驗,並使用眾多範例和案例研究,威脅預測:利用大數據進行預測分析 討論了重要主題,包括使用歷史數據作為預測未來違規行為的基礎所帶來的危險、如何利用安全情報作為工具來發展威脅預測技術,以及如何使用威脅數據可視化技術和威脅模擬工具。讀者將獲得有關非結構化大數據的寶貴安全見解,以及如何利用這些數據來降低風險的策略。
- 提供案例研究和實際數據,以展示威脅數據可視化技術和威脅模擬工具
- 探討使用殺傷鏈模型來提供可行的安全情報
- 演示可用於為任何規模的企業網絡創建完整威脅預測分析的方法論