Automating Open Source Intelligence: Algorithms for OSINT (Paperback)

Robert Layton, Paul A Watters

Automating Open Source Intelligence: Algorithms for OSINT (Paperback)
  • 出版商: Syngress Media
  • 出版日期: 2015-12-09
  • 定價: $1,520
  • 售價: 8.0 折 $1,216
  • 語言: 英文
  • 頁數: 222
  • 裝訂: Paperback
  • ISBN: 0128029161
  • ISBN-13: 9780128029169
  • 相關分類: Algorithms-data-structures

    • 立即出貨 (庫存=1)

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商品描述

Algorithms for Automating Open Source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media. As OSINT has applications in crime fighting, state-based intelligence, and social research, this book provides recent advances in text mining, web crawling, and other algorithms that have led to advances in methods that can largely automate this process.

The book is beneficial to both practitioners and academic researchers, with discussions of the latest advances in applications, a coherent set of methods and processes for automating OSINT, and interdisciplinary perspectives on the key problems identified within each discipline.

Drawing upon years of practical experience and using numerous examples, editors Robert Layton, Paul Watters, and a distinguished list of contributors discuss Evidence Accumulation Strategies for OSINT, Named Entity Resolution in Social Media, Analyzing Social Media Campaigns for Group Size Estimation, Surveys and qualitative techniques in OSINT, and Geospatial reasoning of open data.

  • Presents a coherent set of methods and processes for automating OSINT
  • Focuses on algorithms and applications allowing the practitioner to get up and running quickly
  • Includes fully developed case studies on the digital underground and predicting crime through OSINT
  • Discusses the ethical considerations when using publicly available online data

商品描述(中文翻譯)

《自動化開放源情報(OSINT)的演算法》介紹了從公開可用來源（包括新聞廣播、公共存儲庫，以及最近的社交媒體）中收集信息和提取可行情報的方法。由於OSINT在打擊犯罪、國家情報和社會研究等方面有應用，本書提供了最新的文本挖掘、網絡爬蟲和其他演算法的進展，這些進展在很大程度上實現了自動化這一過程。

本書對實踐者和學術研究者都有益處，討論了應用的最新進展、自動化OSINT的一致方法和過程，以及每個學科內確定的關鍵問題的跨學科觀點。

編輯羅伯特·雷頓（Robert Layton）、保羅·沃特斯（Paul Watters）和一系列傑出的貢獻者根據多年的實踐經驗和大量實例討論了OSINT的證據累積策略、社交媒體中的命名實體解析、分析社交媒體活動以估計群體規模、OSINT中的調查和質性技術，以及開放數據的地理空間推理。

本書的特點包括：
- 提供了一套一致的方法和過程，用於自動化OSINT
- 重點介紹了讓實踐者能夠快速上手的演算法和應用
- 包含了關於數字地下世界和通過OSINT預測犯罪的完整案例研究
- 討論了使用公開可用在線數據時的道德考慮。

以上是對該段文字的翻譯。

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