買這商品的人也買了...
-
Federated Learning Systems: Towards Next-Generation AI$7,030$6,679 -
Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks$1,880$1,786 -
Federated Learning for Wireless Networks$7,030$6,679 -
Federated Learning for Internet of Medical Things: Concepts, Paradigms, and Solutions$4,510$4,285 -
Federated Learning: A Comprehensive Overview of Methods and Applications$6,660$6,327 -
Federated Learning for Future Intelligent Wireless Networks$4,880$4,636 -
Handbook on Federated Learning: Advances, Applications and Opportunities$5,450$5,178 -
Federated AI for Real-World Business Scenarios$2,600$2,470 -
Security and Privacy in Federated Learning$6,380$6,061 -
Communication Efficient Federated Learning for Wireless Networks$6,660$6,327 -
Adversarial Multimedia Forensics$7,030$6,679 -
The Potential of Generative AI: Transforming Technology, Business and Art Through Innovative AI Applications$1,670$1,587 -
Federated Learning: Theory and Practice$4,530$4,304 -
Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats$1,800$1,710 -
Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges$5,710$5,425 -
Unleashing the Power of Data with Trusted AI: A guide for board members and executives$4,530$4,304 -
Industrial Edge Computing: Architecture, Optimization and Applications$7,780$7,391 -
Mobile and Ubiquitous Systems: Computing, Networking and Services: 20th Eai International Conference, Mobiquitous 2023, Melbourne, Vic, Australia, Nov$4,050$3,848 -
LLM Model Security: Strategies, Best Practices, and Future Trends$1,110$1,055 -
LLM and Generative AI for Healthcare: A Comprehensive Guide$1,110$1,055 -
Generative AI Strategy and Implementation: Mastering Techniques and Advanced Applications$900$855 -
Generative AI Transformation: A Guide for Everyone$1,020$969 -
Generative AI for Manufacturing$2,350$2,233 -
Generative AI for Robotics and Autonomous Systems$2,300$2,185 -
Learn Python Generative AI: Journey from autoencoders to transformers to large language models (English Edition)$1,640$1,558
相關主題
商品描述
This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both security and risk analysis are addressed as well as connections directly linked to Edge Computing paradigms. This book also offers an excellent foundation on the fundamental concepts and principles of security, privacy and risk analysis in Edge Computation infrastructures. It guides the reader through the core ideas with relevant ease.
Edge Computing has burst onto the computational scene offering key technologies for allowing more flexibility at the edge of networks. As Edge Computing has evolved as well as the need for more in-depth solutions in security, privacy and risk analysis at the edge. This book includes various case studies and applications on Edge Computing. It includes the Internet of Things related areas, such as smart cities, blockchain, mobile networks, federated learning, cryptography and cybersecurity.
This book is one of the first reference books covering security and risk analysis in Edge Computing Systems. Researchers and advanced-level students studying or working in Edge Computing and related security fields will find this book useful as a reference. Decision makers, managers and professionals working within these fields will want to purchase this book as well.
作者簡介
Dr. Uttam Ghosh is working as Associate Professor of Cybersecurity at the Department of Computer Science and Data Science, Meharry Medical College, TN, USA. He obtained his MS and PhD in Electronics and Electrical Communication Engineering from the Indian Institute of Technology (IIT) Kharagpur, India in 2009 and 2013 respectively. Dr. Ghosh has post-doctoral experiences at the University of Illinois in Urbana-Champaign, Fordham University, and Tennessee State University. Recently, he has received research funding from the US National Science Foundation (NSF) on edge-cloud interplay for intelligent healthcare.
Dr. Jerry Chun-Wei Lin is currently working as the full Professor at the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published 500+ research papers in refereed journals 85+ IEEE/ACM journals) and international conferences. His research interests include data mining and analytics, soft computing, deep learning/machine learning, optimization, IoT applications, privacy-preserving and security technologies, and bio-informatics.
作者簡介(中文翻譯)
Dr. Gautam Srivastava（IEEE 高級會員）目前在加拿大曼尼托巴省的布蘭登大學擔任副教授。在他十年的學術生涯中，他在高影響力的會議和期刊上發表了總共400篇論文。他的研究計畫由加拿大自然科學與工程研究委員會（NSERC）和 MITACS 提供聯邦資助。
Dr. Uttam Ghosh 目前在美國田納西州的梅哈里醫學院計算機科學與數據科學系擔任網路安全副教授。他於2009年和2013年分別在印度理工學院（IIT）卡哈爾古爾獲得電子學和電氣通信工程的碩士及博士學位。Ghosh 博士曾在伊利諾伊大學香檳分校、福特漢姆大學和田納西州立大學擔任博士後研究員。最近，他獲得了美國國家科學基金會（NSF）關於邊緣雲互動在智慧醫療中的研究資助。
Dr. Jerry Chun-Wei Lin 目前在挪威卑爾根的西挪威應用科學大學計算機科學、電氣工程和數學科學系擔任正教授。他在經過審查的期刊（85+ IEEE/ACM 期刊）和國際會議上發表了500多篇研究論文。他的研究興趣包括數據挖掘與分析、軟計算、深度學習/機器學習、優化、物聯網應用、隱私保護與安全技術，以及生物信息學。
