Exploring Malicious Hacker Communities: Toward Proactive Cyber-Defense
暫譯: 探索惡意駭客社群:朝向主動的網路防禦
Marin, Ericsson, Almukaynizi, Mohammed, Sarkar, Soumajyoti
買這商品的人也買了...
-
$900Defensive Security Handbook: Best Practices for Securing Infrastructure
-
$158人工智能中的深度結構學習 (Learning Deep Architectures for Ai)
-
$1,650$1,568 -
$2,080$1,976 -
$207算法設計指南, 2/e (The Algorithm Design Manual, 2/e)
-
$860$843
商品描述
Malicious hackers utilize the World Wide Web to share knowledge. Analyzing the online communication of these threat actors can help reduce the risk of attacks. This book shifts attention from the defender environment to the attacker environment, offering a new security paradigm of 'proactive cyber threat intelligence' that allows defenders of computer networks to gain a better understanding of their adversaries by analyzing assets, capabilities, and interest of malicious hackers. The authors propose models, techniques, and frameworks based on threat intelligence mined from the heart of the underground cyber world: the malicious hacker communities. They provide insights into the hackers themselves and the groups they form dynamically in the act of exchanging ideas and techniques, buying or selling malware, and exploits. The book covers both methodology - a hybridization of machine learning, artificial intelligence, and social network analysis methods - and the resulting conclusions, detailing how a deep understanding of malicious hacker communities can be the key to designing better attack prediction systems.
商品描述(中文翻譯)
惡意駭客利用全球資訊網分享知識。分析這些威脅行為者的線上溝通可以幫助降低攻擊風險。本書將注意力從防禦者環境轉向攻擊者環境,提供一種新的安全範式「主動網路威脅情報」,使電腦網路的防禦者能夠通過分析惡意駭客的資產、能力和興趣,更好地了解其對手。作者提出了基於從地下網路世界核心——惡意駭客社群中挖掘的威脅情報的模型、技術和框架。他們提供了對駭客本身及其在交流想法和技術、買賣惡意軟體和漏洞過程中動態形成的群體的見解。本書涵蓋了方法論——機器學習、人工智慧和社交網路分析方法的混合化,以及由此得出的結論,詳細說明對惡意駭客社群的深入理解如何成為設計更佳攻擊預測系統的關鍵。