Deep Learning Techniques for IoT Security and Privacy

丛 书 名：Studies in Computational Intelligence

版本说明：1st ed. 2022

作     者：Mohamed Abdel-Basset Nour Moustafa Hossam Hawash Weiping Ding 

I S B N：(纸本) 9783030890247 

出 版 社：Springer International Publishing 

出 版 年：2022年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 0839[工学-网络空间安全] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：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.