Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol
暫譯: 網路安全中的人工智慧與機器學習：提升網路安全協議的全面指南

Young, Richard Gwashy

Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol
  • 出版商: Productivity Press
  • 出版日期: 2025-12-17
  • 售價: $2,210
  • 貴賓價: 9.5 折 $2,100
  • 語言: 英文
  • 頁數: 157
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1041014856
  • ISBN-13: 9781041014850
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

Artificial Intelligence and Machine Learning in Cybersecurity: A Comprehensive Guide to Improving Cybersecurity Protocol is a comprehensive exploration of the intersection between cutting-edge technology and cybersecurity practices. This book offers readers an in-depth understanding of how AI and ML are reshaping the cybersecurity landscape. It begins with foundational concepts, explaining AI and ML's principles and their transformative potential within various sectors, particularly cybersecurity. This book uniquely combines theoretical insights and practical applications, making it an essential resource for graduate students and cybersecurity professionals eager to expand their knowledge and skills.

The book's uniqueness lies in its detailed analysis of how AI and machine learning can predict and counteract emerging threats in real time, shifting the paradigm from reactive to proactive cybersecurity measures. By delving into a wide range of topics, such as AI-Powered Intrusion Detection and Prevention Systems (IDPS) and Endpoint Security, the author provides case studies and examples from sectors like finance and healthcare. This hands-on approach not only illustrates successful implementations but also highlights potential challenges, offering balanced perspectives and strategies to overcome hurdles. The inclusion of ethical considerations around AI usage in cybersecurity further distinguishes it as a forward-thinking guide.

As cyber threats continue to evolve, the need for advanced AI and ML methodologies becomes increasingly critical. This book addresses this urgency by equipping readers with contemporary knowledge and tools necessary to leverage these technologies effectively. The discussion of future trends, such as AI-powered quantum security and necessary policy implications, ensures that readers are well-prepared to navigate the complexities of cybersecurity in the coming decades. Ultimately, it serves as both an educational textbook for students and a practical guide for cyber practitioners, offering a roadmap for implementing AI-driven cybersecurity solutions that enhance threat detection, response, and prevention.

商品描述(中文翻譯)

《人工智慧與機器學習在網路安全中的應用：提升網路安全協議的全面指南》是對尖端技術與網路安全實踐交集的深入探索。本書為讀者提供了對人工智慧（AI）和機器學習（ML）如何重塑網路安全環境的深入理解。書中首先介紹了基礎概念，解釋了AI和ML的原則及其在各個領域，特別是網路安全中的變革潛力。本書獨特地結合了理論見解和實際應用，使其成為研究生和渴望擴展知識與技能的網路安全專業人士的重要資源。

本書的獨特之處在於其詳細分析了AI和機器學習如何即時預測和對抗新興威脅，將網路安全措施的範式從反應式轉變為主動式。通過深入探討各種主題，如AI驅動的入侵檢測與防護系統（IDPS）和端點安全，作者提供了來自金融和醫療等領域的案例研究和範例。這種實務導向的方法不僅展示了成功的實施案例，還突顯了潛在挑戰，提供了平衡的觀點和克服障礙的策略。對於AI在網路安全中使用的倫理考量的納入，進一步使其成為前瞻性的指南。

隨著網路威脅的不斷演變，對先進的AI和ML方法的需求變得越來越迫切。本書針對這一緊迫性，為讀者提供了必要的當代知識和工具，以有效利用這些技術。對未來趨勢的討論，如AI驅動的量子安全和必要的政策影響，確保讀者能夠充分準備應對未來幾十年網路安全的複雜性。最終，本書既是學生的教育教科書，也是網路安全從業者的實用指南，提供了一條實施AI驅動的網路安全解決方案的路線圖，以增強威脅檢測、響應和預防能力。

作者簡介

Richard Young, PhD, is a seasoned cybersecurity leader and practitioner with over 30 years of experience in the financial services industry. Serving as an adjunct professor and Cybersecurity Program chair, he has made significant contributions to academia, leading the development of innovative curricula that bridge the gap between theoretical knowledge and practical application. His teaching expertise includes cybersecurity, IT risk, and leadership, where he has mentored numerous graduate students and future leaders in navigating complex cybersecurity challenges. Currently, Dr. Young serves as the head of Global Operations Tech Risk & Platforms Engineering at Citibank in New York City where he spearheads technical product ownership and risk management strategies across regions. His previous roles as chief information security officer at Barclays and Deutsche Bank have equipped him with extensive expertise in establishing and maintaining enterprise strategies to protect information assets. Dr.Young is recognized for delivering operational excellence, implementing regulatory reforms, and fostering collaborative relationships across global financial institutions. In addition to his extensive professional experience, Dr. Young holds a PhD in Leadership with a focus on the Management of Information Systems and is pursuing an EdD in Educational Leadership. He is the author of three influential books, including The 2nd Coming: The Recolonization of Africa by the East, Cybersecurity - A Handbook for Boards and C-Suite, and Leadership Practices for Optimizing Performance and Job Satisfaction in the Financial Industry. Dr. Young's insights and thought leadership have made him a prominent figure in bridging technology and cybersecurity, preparing organizations for the future challenges of the digital landscape.

作者簡介(中文翻譯)

理查德·楊（Richard Young），博士，是一位資深的網路安全領導者和實務專家，在金融服務行業擁有超過30年的經驗。作為兼任教授及網路安全課程主任，他對學術界做出了重要貢獻，主導開發創新的課程，彌合理論知識與實務應用之間的鴻溝。他的教學專長包括網路安全、IT風險和領導力，並指導了眾多研究生和未來的領導者，幫助他們應對複雜的網路安全挑戰。目前，楊博士擔任紐約市花旗銀行全球運營技術風險與平台工程部門的負責人，負責推動各地區的技術產品擁有權和風險管理策略。他曾擔任巴克萊銀行和德意志銀行的首席資訊安全官，這些經歷使他在建立和維護企業策略以保護資訊資產方面擁有豐富的專業知識。楊博士因提供卓越的運營表現、實施監管改革以及促進全球金融機構之間的合作關係而受到認可。除了豐富的專業經驗外，楊博士擁有專注於資訊系統管理的領導學博士學位，並正在攻讀教育領導的教育學博士學位。他是三本有影響力的書籍的作者，包括《第二次來臨：東方對非洲的再殖民》（The 2nd Coming: The Recolonization of Africa by the East）、《網路安全 - 董事會和C-suite的手冊》（Cybersecurity - A Handbook for Boards and C-Suite）以及《金融行業績效優化與工作滿意度的領導實踐》（Leadership Practices for Optimizing Performance and Job Satisfaction in the Financial Industry）。楊博士的見解和思想領導力使他成為技術與網路安全之間的橋樑，幫助組織為數位環境未來的挑戰做好準備。

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