Muutke küpsiste eelistusi

Edge Intelligence and Analytics for Internet of Things [Kõva köide]

Edited by (NIT, Raipur, India), Edited by (Hong Kong Metropolitan University), Edited by , Edited by (Director, International Center for AI & CCRI)
  • Formaat: Hardback, 328 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 10 Tables, black and white; 36 Line drawings, black and white; 27 Halftones, black and white; 63 Illustrations, black and white
  • Ilmumisaeg: 29-Sep-2025
  • Kirjastus: CRC Press
  • ISBN-10: 1032823496
  • ISBN-13: 9781032823492
  • Kõva köide
  • Hind: 164,80 €
  • See raamat ei ole veel ilmunud. Raamatu kohalejõudmiseks kulub orienteeruvalt 2-4 nädalat peale raamatu väljaandmist.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 328 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 10 Tables, black and white; 36 Line drawings, black and white; 27 Halftones, black and white; 63 Illustrations, black and white
  • Ilmumisaeg: 29-Sep-2025
  • Kirjastus: CRC Press
  • ISBN-10: 1032823496
  • ISBN-13: 9781032823492
Edge Computing and Intelligence is a new technical discipline that researches anddevelops theories, methods, technologies, and application systems for providing the fastand efficient processing and intelligent decision using the big data generated from IoTsystem. Edge Computing and Intelligence enabled Internet of Thing (IoT) system helpsin alleviating the resource limitation of the IoT devices and facilities large scaledeployment of IoT system for different applications such smart city, smart grid, smarthome, smart healthcare system, smart video surveillance, e-healthcare etc. EdgeComputing based IoT architecture facilitates computational and storage resources atthe edge of the IoT system and helps in reducing the latency for end users. To facilitatean efficient processing and analysis of large amount of Big IoT data, AI techniques canbe used at edge of the IoT system to enhance the response time.Due to deployment of the IoT devices in open environment and its interaction withother IoT devices through unstable and unreliable wireless channel, and placement ofEdge nodes near to the IoT system, IoT devices will offer many chances for maliciousattackers to compromise them through collusion attacks, and DoS attacks, and manyother types of attacks. Thus, Analysis of the network traffic and IoT data at the Edgenodes with help of various latest AI techniques will address various issues such asanomaly detection in IoT data, data poisoning attacks, and other security and privacyissues of the IoT system. In this book, we will provide an overview of the fundamentalconcepts of Edge Computing, Edge intelligence using advance machine and deeplearning models, architecture of Edge computing based IoT system, and edgecomputing based cyber threat intelligence solutions for IoT systems.The main aim of the book is to systematically collect and present quality researchworks in recent trends in Edge Computing and Edge Intelligence for IoT system. Thisbook would emphasize and facilitate a greater understanding of various concepts suchas Edge Computing and Edge Intelligence, Edge Intelligence enabled security andprivacy approaches, application of the advance AI techniques such as machine/deeplearning, federated learning, for IoT data analytics and solving various issues of the IoTsystem. There are numerous challenges in the development of Edge computing,Artificial Intelligence (AI) and IoT-based Engineering Applications from the Securityand Privacy perspectives. This book will help in identifying areas where we are facingmany challenges and applying Edge Computing, advanced machine and deep learningtechniques for designing and development of Edge Computing based IoT system.

In this book, we will provide an overview of the fundamental concepts of Edge Computing, Edge intelligence using advanced machine and deep learning models, architecture of Edge computing based IoT system, and edge computing based cyber threat intelligence solutions for IoT systems.

Chapter
1. Edge Intelligence for IoT: Architecture, Issues, and
Applications
Chapter
2. Edge Intelligence based Internet of Medical Things: Architecture,
Issues, and
Case Studies
Chapter
3. Edge Intelligence based Intrusion Detection and Avoidance
Framework for
IoT Network
Chapter
4. Edge Intelligence based Anomaly Detection for IoT Network
Chapter
5. Edge Intelligence based Intelligent Transportation System
Chapter
6. Edge Intelligence and IoT-based Smart Agriculture System
Chapter
7. Edge Intelligence and Privacy Preservation Aware Intelligent Cyber
Threats
Detection Model
Chapter
8. Edge Intelligence and Deep Learning Approaches based data
analytics for
Fog-enabled IoT Network
Chapter
9. Edge Intelligence and Federated Learning based Healthcare Data
Analytics
Chapter
10. Edge Intelligence and Deep Reinforcement Learning based Big Data
Analytics
for IoT System
Chapter
11. Edge Intelligence and Privacy-aware Threat Intelligence for
Fog-enabled IoT
Network using big data approaches.
Chapter
12. Edge Intelligence and Blockchain-based security architecture for
Fog-enabled
IoT Systems
Chapter
13. Blockchain and Edge Intelligence based forensic evidence
preservation in
Fog-enabled IoT Systems
Chapter
14. Edge Intelligence based Botnet detection in Fog-enabled IoT
environments.
Chapter
15. Edge Intelligence based Data Analytics for Vehicular
Communication
Networks