Intelligent Security Systems: How Artificial Intelligence, Machine Learning and Data Science Work for and Against Computer Security

Dramatically improve your cybersecurity using AI and machine learning

In Intelligent Security Systems, distinguished professor and computer scientist Dr. Leon Reznik delivers an expert synthesis of artificial intelligence, machine learning and data science techniques, applied to computer security to assist readers in hardening their computer systems against threats. Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device's owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also walks the reader through how to recognize and counter common hacking activities.

The textbook bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts.

Intelligent Security Systems includes supplementary resources, like classroom presentation slides, sample review, test and exam questions, practice exercises to make the material contained within even more practical and useful. The book also offers:

• A thorough introduction to computer security, artificial intelligence, and machine learning, including basic definitions and concepts like threats, vulnerabilities, risks, attacks, protection, and tools
• An exploration of firewall design and implementation, including firewall types and models, typical designs and configurations, and their limitations and problems
• Discussions of intrusion detection systems (IDS), including architecture topologies, components, and operational ranges, classification approaches, and machine learning techniques in IDS design
• A treatment of malware and vulnerabilities detection and protection, including malware classes, history, and development trends

Perfect for undergraduate and graduate students in computer security, computer science and engineering, Intelligent Security Systems will also earn a place in the libraries of students and educators in information technology and data science, as well as professionals working in those fields.

「運用人工智慧和機器學習大幅提升您的網路安全性」

在《智慧安全系統》一書中，著名教授和計算機科學家Leon Reznik博士將人工智慧、機器學習和資料科學技術與電腦安全結合，為讀者提供專業的綜合資訊，幫助他們加強電腦系統的安全性，以抵禦各種威脅。作者強調實用且可立即實施的策略，適用於業界專業人士和電腦設備擁有者，並解釋了如何安裝和加固防火牆、入侵檢測系統、攻擊識別工具和惡意軟體保護系統。他還指導讀者如何識別和對抗常見的駭客活動。

這本教科書填補了網路安全教育和新資料科學課程之間的差距，討論了尖端的人工智慧和機器學習技術如何對網路安全工作產生影響。

《智慧安全系統》還提供了額外的資源，如課堂演示投影片、樣本評論、測驗和考試問題，以及練習題，使內容更加實用和有用。本書還包括：

- 對電腦安全、人工智慧和機器學習的全面介紹，包括威脅、漏洞、風險、攻擊、保護和工具等基本定義和概念
- 對防火牆設計和實施的探討，包括防火牆類型和模型、典型設計和配置，以及其限制和問題
- 對入侵檢測系統（IDS）的討論，包括架構拓撲、組件和操作範圍、分類方法，以及在IDS設計中的機器學習技術
- 對惡意軟體和漏洞的檢測和保護的探討，包括惡意軟體類別、歷史和發展趨勢

《智慧安全系統》非常適合計算機安全、計算機科學和工程的本科和研究生學生，也適合資訊技術和資料科學領域的學生和教育工作者，以及在這些領域工作的專業人士。

Leon Reznik, PhD, is Professor in the Department of Computer Science at Rochester Institute of Technology, USA. He received his doctorate in Information and Measurement Systems in 1983 at the St. Petersburg State Polytechnic University. He has published four books and numerous book chapters, conference papers, and journal articles.

Leon Reznik, PhD, 是美國羅徹斯特理工學院（Rochester Institute of Technology）計算機科學系的教授。他於1983年在聖彼得堡國立理工大學（St. Petersburg State Polytechnic University）獲得信息與測量系統博士學位。他已出版了四本書和大量的書籍章節、會議論文和期刊文章。