Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection
暫譯: 在網路安全分析與網路威脅偵測中應用人工智慧
Mahajan, Shilpa, Khurana, Mehak, Estrela, Vania Vieira
商品描述
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.
商品描述(中文翻譯)
全面資源提供針對惡意軟體的策略防禦機制、處理網路犯罪及利用人工智慧 (AI) 和機器學習 (ML) 識別漏洞
在網路安全分析與網路威脅偵測中應用人工智慧 是對該主題的最先進理論和實用指導的全面探討，展示了最近的創新、出現的趨勢、關注的問題以及在網路安全領域中使用分析和機器學習所遇到的應用挑戰和採用的解決方案。該文本清楚地解釋了理論方面、框架、系統架構、分析與設計、實施、驗證以及數據科學和機器學習的工具和技術，以偵測和預防網路威脅。
本書利用 AI 和 ML 方法，提供針對惡意軟體、網路犯罪和系統漏洞的策略防禦機制。它還提供專業分析師可以應用的工具和技術，以安全地分析、除錯和拆解他們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撰寫，在網路安全分析與網路威脅偵測中應用人工智慧 探討的主題包括：
- 源自計算統計文獻和純數學的網路安全工具，例如非參數概率密度估計、基於圖的流形學習和拓撲數據分析
- 人工智慧在滲透測試、惡意軟體、數據隱私、入侵偵測系統 (IDS) 和社會工程中的應用
- 人工智慧自動化如何解決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將攻擊技術進行分組並在更高層次上進行分析
在網路安全分析與網路威脅偵測中應用人工智慧 提供了對快速擴展領域的詳細覆蓋，是涉及網路安全、人工智慧和機器學習交叉領域的各類研究人員、科學家和專業人士的重要資源。
作者簡介
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.
作者簡介(中文翻譯)
Shilpa Mahajan，博士，是印度北方大學工程與技術學院的副教授。
Mehak Khurana，博士，是印度北方大學工程與技術學院的副教授。
Vania Vieira Estrela，博士，是巴西弗魯米嫩塞聯邦大學電信系的教授。
