Identity Management with Biometrics Explore the latest innovative solutions to provide secure identification and authentication

Bock, Lisa

  • 出版商: Packt Publishing
  • 出版日期: 2020-10-19
  • 定價: $1,380
  • 售價: 9.0$1,242
  • 語言: 英文
  • 頁數: 370
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1838988386
  • ISBN-13: 9781838988388
  • 相關分類: 人工智慧大數據 Big-data資訊安全
  • 立即出貨 (庫存=1)

相關主題

商品描述

Work with common biometrics such as face, fingerprint, and iris recognition for business and personal use to ensure secure identification and authentication for fintech, homes, and computer systems

Key Features

  • Explore the next iteration of identity protection and overcome real-world challenges
  • Understand different biometric use cases to deploy a large-scale biometric system
  • Curated by renowned security ambassador and experienced author Lisa Bock

Book Description

Biometric technologies provide a variety of robust and convenient methods to securely identify and authenticate an individual. Unlike a password or smart card, biometrics can identify an attribute that is not only unique to an individual, but also eliminates any possibility of duplication. Identity Management with Biometrics is a solid introduction for anyone who wants to explore biometric techniques, such as fingerprint, iris, voice, palm print, and facial recognition.

Starting with an overview of biometrics, you'll learn the various uses and applications of biometrics in fintech, buildings, border control, and many other fields. You'll understand the characteristics of an optimal biometric system and then review different types of errors and discover the benefits of multi-factor authentication. You'll also get to grips with analyzing a biometric system for usability and accuracy and understand the process of implementation, testing, and deployment, along with addressing privacy concerns. The book outlines the importance of protecting biometric data by using encryption and shows you which factors to consider and how to analyze them before investing in biometric technologies.

By the end of this book, you'll be well-versed with a variety of recognition processes and be able to make the right decisions when implementing biometric technologies.

What you will learn

  • Review the advantages and disadvantages of biometric technology
  • Understand the characteristics of an optimal biometric system
  • Discover the uses of biometrics and where they are used
  • Compare different types of errors and see how to tune your system
  • Understand the benefits of multi-factor authentication
  • Work with commonly used biometrics such as face, fingerprint, and iris
  • Analyze a biometric system for usability and accuracy
  • Address privacy concerns and get a glimpse of the future of biometrics

Who this book is for

Identity Management with Biometrics is for IT managers, security professionals, students, teachers, and anyone involved in selecting, purchasing, integrating, or securing a biometric system. This book will help you understand how to select the right biometric system for your organization and walk you through the steps for implementing identity management and authentication. A basic understanding of biometric authentication techniques, such as fingerprint and facial recognition, and the importance of providing a secure method of authenticating an individual will help you make the most of the book.

商品描述(中文翻譯)

與常見的生物特徵識別技術(如臉部、指紋和虹膜識別)一起工作,以確保金融科技、家庭和電腦系統的安全識別和驗證

主要特點


  • 探索身份保護的下一個演進階段,並克服現實世界中的挑戰

  • 了解不同的生物特徵使用案例,以部署大規模的生物特徵系統

  • 由知名安全大使和經驗豐富的作者Lisa Bock編寫

書籍描述

生物特徵技術提供了多種強大且便捷的方法,用於安全識別和驗證個人身份。與密碼或智能卡不同,生物特徵可以識別一個不僅獨特於個體的屬性,還消除了任何重複的可能性。《生物特徵身份管理》是一本為想要探索生物特徵技術(如指紋、虹膜、語音、掌紋和臉部識別)的人提供的堅實入門指南。

從生物特徵概述開始,您將了解生物特徵在金融科技、建築物、邊境管制和其他許多領域中的各種用途和應用。您將了解最佳生物特徵系統的特徵,然後審查不同類型的錯誤,並了解多因素驗證的好處。您還將掌握分析生物特徵系統的可用性和準確性的技巧,並了解實施、測試和部署的過程,以及解決隱私問題。本書概述了使用加密保護生物特徵數據的重要性,並向您展示在投資生物特徵技術之前應考慮哪些因素以及如何分析它們。

通過閱讀本書,您將熟悉各種識別過程,並能在實施生物特徵技術時做出正確的決策。

您將學到什麼


  • 評估生物特徵技術的優點和缺點

  • 了解最佳生物特徵系統的特徵

  • 了解生物特徵的用途和應用領域

  • 比較不同類型的錯誤,並了解如何調整系統

  • 了解多因素驗證的好處

  • 使用常見的生物特徵(如臉部、指紋和虹膜)進行工作

  • 分析生物特徵系統的可用性和準確性

  • 解決隱私問題,並瞥見生物特徵技術的未來

本書適合對象

《生物特徵身份管理》適用於IT經理、安全專業人員、學生、教師以及參與選擇、購買、整合或保護生物特徵系統的任何人。本書將幫助您了解如何為組織選擇合適的生物特徵系統,並引導您完成實施身份管理和驗證的步驟。對生物特徵驗證技術(如指紋和臉部識別)的基本理解,以及提供安全的個人身份驗證方法的重要性,將幫助您充分利用本書的內容。

作者簡介

Lisa Bock is an experienced author with a demonstrated history of working in the e-learning industry. She is a Security Ambassador with a broad range of IT skills and knowledge, including networking, Cisco CyberOps, Wireshark, biometrics, and the IoT. Lisa is an author for LinkedIn Learning along with being an award-winning speaker who has presented at several national conferences. She holds a MS in computer information systems/information assurance from UMGC. Lisa was an associate professor in the IT department at Pennsylvania College of Technology (Williamsport, PA) from 2003 until her retirement in 2020. She is involved with various volunteer activities, and she and her husband Mike enjoy bike riding, watching movies, and traveling.

作者簡介(中文翻譯)

Lisa Bock 是一位在電子學習行業有豐富經驗的作家。她是一位安全大使,具備廣泛的 IT 技能和知識,包括網絡、思科 CyberOps、Wireshark、生物識別和物聯網。Lisa 是 LinkedIn Learning 的作者,同時也是一位屢獲殊榮的演講者,曾在多個國家級會議上發表演講。她擁有馬里蘭大學全球校園的計算機信息系統/信息保護碩士學位。從 2003 年到 2020 年退休前,Lisa 在賓夕法尼亞科技學院(威廉斯波特,賓夕法尼亞州)的 IT 部門擔任副教授。她參與了各種志願活動,她和丈夫 Mike 喜歡騎自行車、看電影和旅行。

目錄大綱

Table of Contents

  1. Exploring Biometric Technology
  2. Biometrics and Mobile Devices
  3. Recognizing Biometric Characteristics
  4. Comparing Advantages and Modalities
  5. Implementing Fingerprint Technology
  6. Using Facial Recognition
  7. Learning Iris Recognition
  8. Using Voice Recognition
  9. Considering Alternate Biometrics
  10. Selecting the Right Biometric
  11. Integrating the Biometric System
  12. Testing and System Deployment
  13. Discovering Practical Biometric Applications
  14. Addressing Privacy Concerns

目錄大綱(中文翻譯)

目錄


  1. 探索生物識別技術

  2. 生物識別與行動裝置

  3. 識別生物特徵

  4. 比較優勢和模式

  5. 實施指紋技術

  6. 使用臉部識別

  7. 學習虹膜識別

  8. 使用語音識別

  9. 考慮其他生物識別方式

  10. 選擇適合的生物識別方式

  11. 整合生物識別系統

  12. 測試和系統部署

  13. 發現實用的生物識別應用

  14. 解決隱私問題