Darkweb Cyber Threat Intelligence Mining
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 折 $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
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相關主題
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「網路威脅情報」探索了一種新的範式,即通過了解攻擊者可用於攻擊的資產,來使電腦網路的防禦者對其對手有更好的理解。在這本書中,一個專家團隊從惡意黑客的地下世界 - 暗網中,探討了一種新型的網路威脅情報。這些高度安全的網站允許匿名的惡意黑客社群交換想法和技術,並買賣惡意軟體和攻擊手法。本書旨在面向網路安全從業人員和研究人員,是對於更好地了解暗網上的惡意黑客社群以及如何應對的第一步。作者們通過人工和自動化技術結合,檢視了真實世界的暗網數據,以獲得對這些社群的深入了解,並描述了方法論和結果。