Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML)

Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats.

Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter.

With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection explores topics such as:

• Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis
• Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering
• How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats
• Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint

Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.

《應用人工智慧於網路安全分析與網路威脅偵測》是一本全面介紹使用人工智慧（AI）和機器學習（ML）提供戰略防禦機制以對抗惡意軟體、處理網路犯罪並識別漏洞的資源。本書深入探討了最新的理論和實踐指南，展示了近期的創新、新興趨勢和關注點，以及在網路安全分析和機器學習領域遇到的應用挑戰和解決方案。本書清楚地解釋了資料科學和機器學習的理論方面、框架、系統架構、分析和設計、實施、驗證以及工具和技術，以便檢測和預防網路威脅。本書利用人工智慧和機器學習方法，提供了應對惡意軟體、網路犯罪和系統漏洞的戰略防禦機制。它還提供了專業分析師可以應用的工具和技術，以安全地分析、調試和反組譯遇到的任何惡意軟體。本書由在該領域具有豐富經驗的合格作者貢獻，探討了以下主題：從計算統計文獻和純數學中衍生出的網路安全工具，例如非參數概率密度估計、基於圖形的流形學習和拓撲數據分析；將人工智慧應用於滲透測試、惡意軟體、數據隱私、入侵檢測系統（IDS）和社交工程；人工智慧自動化如何應對日常工作流程中的各種安全挑戰，以及如何執行自動化分析以主動減輕威脅；從攻擊和防禦的角度對攻擊技術進行分析。《應用人工智慧於網路安全分析與網路威脅偵測》提供了對一個快速擴展的領域的詳細覆蓋，是許多與網路安全、人工智慧和機器學習相交的研究人員、科學家和專業人士的重要資源。

Shilpa Mahajan, PhD, is an Associate Professor in the School of Engineering and Technology at The NorthCap University, India.

Mehak Khurana, PhD, is an Associate Professor in the School of Engineering and Technology at The NorthCap University, India.

Vania Vieira Estrela, PhD, is a Professor with the Telecommunications Department of the Fluminense Federal University, Brazil.

Shilpa Mahajan博士是印度北首大學工程與技術學院的副教授。
Mehak Khurana博士是印度北首大學工程與技術學院的副教授。
Vania Vieira Estrela博士是巴西Fluminense聯邦大學電信部門的教授。