Darkweb Cyber Threat Intelligence Mining
暫譯: 暗網網路威脅情報挖掘

John Robertson, Ahmad Diab, Ericsson Marin, Eric Nunes, Vivin Paliath, Jana Shakarian, Paulo Shakarian

  • 出版商: Cambridge
  • 出版日期: 2017-04-04
  • 售價: $2,080
  • 貴賓價: 9.5$1,976
  • 語言: 英文
  • 頁數: 146
  • 裝訂: Hardcover
  • ISBN: 1107185777
  • ISBN-13: 9781107185777
  • 相關分類: 大數據 Big-data資訊安全駭客 Hack
  • 立即出貨 (庫存=1)

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商品描述

The important and rapidly emerging new field known as 'cyber threat intelligence' explores the paradigm that defenders of computer networks gain a better understanding of their adversaries by understanding what assets they have available for an attack. In this book, a team of experts examines a new type of cyber threat intelligence from the heart of the malicious hacking underworld - the dark web. These highly secure sites have allowed anonymous communities of malicious hackers to exchange ideas and techniques, and to buy/sell malware and exploits. Aimed at both cybersecurity practitioners and researchers, this book represents a first step toward a better understanding of malicious hacking communities on the dark web and what to do about them. The authors examine real-world darkweb data through a combination of human and automated techniques to gain insight into these communities, describing both methodology and results.

商品描述(中文翻譯)

重要且迅速崛起的新領域稱為「網路威脅情報」(cyber threat intelligence),探討的範式是電腦網路的防禦者透過了解攻擊者擁有的資源來更好地理解其對手。在這本書中,一組專家從惡意駭客的黑暗網路(dark web)核心檢視一種新型的網路威脅情報。這些高度安全的網站使得匿名的惡意駭客社群能夠交流想法和技術,並買賣惡意軟體和漏洞利用工具。本書針對網路安全從業人員和研究人員,代表了邁向更好理解黑暗網路上惡意駭客社群及其應對措施的第一步。作者透過人類和自動化技術的結合,檢視真實的黑暗網路數據,以深入了解這些社群,並描述其方法論和結果。

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