Data-Driven Security: Analysis, Visualization and Dashboards (Paperback)
暫譯: 數據驅動的安全性:分析、視覺化與儀表板 (平裝本)

Jay Jacobs, Bob Rudis

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商品描述

Uncover hidden patterns of data and respond with countermeasures

Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful ? data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions.

Everything in this book will have practical application for information security professionals.

  • Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks
  • Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacks
  • Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more
  • Written by a team of well-known experts in the field of security and data analysis

Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.

商品描述(中文翻譯)

**揭示數據的隱藏模式並採取對策**

安全專業人士需要所有可用的工具來提高他們的可見性,以防止安全漏洞和攻擊。本指南深入探討了兩個最強大的工具:數據分析和可視化。您將很快了解如何利用和運用數據,從收集和存儲到管理和分析,以及可視化和呈現。這本書採用實踐的方法,結合真實世界的例子,向您展示如何收集反饋、衡量安全方法的有效性,並做出更好的決策。

本書中的所有內容對於資訊安全專業人士都有實用的應用。

- 幫助IT和安全專業人士理解和使用數據,以便他們能夠阻止攻擊並理解和可視化其網絡中的漏洞
- 包含十多個真實世界的例子和實踐練習,展示如何分析安全數據和情報,並將這些信息轉化為可視化,清楚地顯示如何防止攻擊
- 涵蓋主題包括如何獲取和準備安全數據、使用簡單的統計方法檢測惡意軟體、預測不當行為、關聯安全事件等
- 由一組知名的安全和數據分析領域專家撰寫

通過提高對環境的可見性,利用數據的力量來鎖定您的網絡、防止黑客攻擊和抵禦惡意軟體,所有這些都在《使用數據分析、可視化和儀表板的安全性》中實現。