Deep Learning Approaches For Security Threats In Iot Environments

物联网环境安全威胁的深度学习方法

计算机科学技术基础学科

售   价:
1203.00
发货周期:国外库房发货,通常付款后3-5周到货!
作      者
出  版 社
出版时间
2022年11月18日
装      帧
精装
ISBN
9781119884149
复制
页      码
384
开      本
13.97 x 21.59 cm.
语      种
英文
综合评分
暂无评分
我 要 买
- +
库存 30 本
  • 图书详情
  • 目次
  • 买家须知
  • 书评(0)
  • 权威书评(0)
图书简介
Deep Learning Approaches for Security Threats in IoT Environments discusses approaches and measures to ensure our IoT systems are secure. This book discusses important concepts of AI and IoT and applies vital approaches that can be used to protect our systems - these include supervised, unsupervised, and semi-supervised Deep Learning approaches as well as Reinforcement and Federated Learning for privacy-preserving. This book applies Digital Forensics to IoT and discusses problems that professionals may encounter when working in the field of IoT forensics, providing ways in which smart devices can solve cyber security issues. Aimed at readers within the cyber security field, this book presents the most recent challenges that are faced in deep learning when creating a secure platform for IoT systems and addresses the possible solutions, paving the way for a more secure future.
本书暂无推荐
本书暂无推荐
看了又看
  • 上一个
  • 下一个