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BCIOT for IEEE COINS 2021 : Special Track on Blockchain and Internet of Things (IoT)

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Link: https://coinsconf.com/
 
When Aug 23, 2021 - Aug 25, 2021
Where Barcelona, Spain
Submission Deadline Apr 30, 2021
Notification Due Jun 30, 2021
 

Call For Papers


IEEE COINS is the premier conference devoted to omni-layer techniques for smart IoT systems, by identifying new perspectives and highlighting impending research issues and challenges.

The special track “Blockchain and Internet of Things” covers (but is not limited to) the following topics:

Recent development in Blockchain research
Recent development in IoT research
Lightweight consensus protocols and algorithms for IoT devices
Blockchain schemes for decentralization in IoT
Security of decentralized schemes for IoT applications
Throughout, latency and performance issues in Blockchain based IoT systems
System design and implementation methods for Blockchain based IoT systems
Blockchain in IoT device identity management, data privacy
Blockchain in IoT supply chain management and assent tracking
Blockchain in embedded and real-time Systems
Blockchain in peer-to-peer and M2M communications
Innovative decentralized applications in the healthcare and energy system
Blockchain in smart home, smart building, smart city applications
The recent development in DLTs | Architectures/platforms for DLT and IoT
Applications of DLT and Blockchain in edge, fog and cloud computing
Development of DLT-IoT enabled sensor networks
DLTs and Blockchain in peer-to-peer and M2M communications
DTLs and Blockchain in embedded and real-time systems
Provisioning of sensor-enabled blockchain-IoT architecture
DLT-based IoT security and privacy solutions, key management, identity management, authentication, authorization, and access control
System design and implementation methods for blockchain-based IoT systems
Performance evaluation and experimental analysis of DLT/blockchain IoT schemes
Novel development of smart contracts in the blockchain-IoT ecosystem
Deployment of IoT-based sensor-data management
Machine Learning Approaches for Convergence of IoT and DLT
Performance evaluation and experimental analysis of Blockchain IoT schemes
Case studies (e.g., healthcare, energy, smart home, smart building, smart city, Industry 4.0, finance, transportation and logistics)

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