Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era (Signal Processing for Security Technologies)

  • 出版商: Springer
  • 出版日期: 2016-12-27
  • 售價: $6,120
  • 貴賓價: 9.5$5,814
  • 語言: 英文
  • 頁數: 424
  • 裝訂: Hardcover
  • ISBN: 331947300X
  • ISBN-13: 9783319473000
  • 相關分類: 大數據 Big-data資訊安全
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.

商品描述(中文翻譯)

本書突出了使用新方法(如深度學習、非線性圖嵌入、模糊方法和集成學習)進行生物特徵識別的最新研究進展。其中包括與隱私和安全問題相關的特殊生物特徵識別技術,如可取消生物特徵識別和軟生物特徵識別。本書還專注於幾個新興主題,如大數據問題、物聯網、醫學生物特徵識別、醫療保健和機器人與人類的互動。作者們展示了這些新應用如何引發了許多新的生物特徵識別方法。他們以模糊提取器在生物特徵識別銀行中成為密鑰生成的有用工具,以及從醫療記錄中提取的靜脈/心率也可用於識別患者為例,展示了這一點。貢獻者們深入探討了這些主題、方法及其應用。