Deep Learning Techniques for Iot Security and Privacy

Abdel-Basset, Mohamed, Moustafa, Nour, Hawash, Hossam

  • 出版商: Springer
  • 出版日期: 2022-12-07
  • 售價: $7,010
  • 貴賓價: 9.5$6,660
  • 語言: 英文
  • 頁數: 257
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030890279
  • ISBN-13: 9783030890278
  • 相關分類: DeepLearning物聯網 IoT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 states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

 

商品描述(中文翻譯)

這本書指出,主要的目標讀者是對物聯網(IoT)有一定了解但對於深度學習在維護物聯網安全和隱私方面的角色感興趣的人。讀者應該熟悉Python和機器學習以及深度學習的基礎知識。對統計學和概率理論的解釋將是一個加分項,但並不一定是理解本書大部分內容所必需的。