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Blockchain and Trustworthy Systems: 5th International Conference, BlockSys 2023, Haikou, China, August 810, 2023, Proceedings, Part I [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  981998100X
  • ISBN-10:  981998100X
  • ISBN-13:  9789819981007
  • ISBN-13:  9789819981007
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  981998100X-11-SPRI
  • SKU:  981998100X-11-SPRI
  • Pages:  299
  • Pages:  299
  • Item ID: 106792886
  • List Price: $79.99
  • Seller: ShopSpell
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  • Delivery by: Oct 01 to Oct 03
The two-volume set CCIS 1896 and 1897 constitutes the refereed post-conference proceedings of the 5th International Conference on Blockchain and Trustworthy Systems, BlockSys 2023, which took place in Haikou, China during August 810, 2023. The 45 revised full papers presented in these proceedings were carefully reviewed and selected from 93 submissions. The papers are organized in the following topical sections: 

Part I: Anomaly detection on blockchain; edge intelligence and metaverse services; blockchain system security; empirical study and surveys; federated learning for blockchain. 

Part II: AI for blockchain; blockchain applications; blockchain architecture and optimization; protocols and consensus.

Anomaly detection on blockchain.- Blockchain Scam Detection: State-of-the-art, Challenges, and Future  Directions.- ScamRadar: Identifying Blockchain Scams When They are Promoting.- Based on Financial Characteristics to Capture the Source of Funds of  the Ponzi Scheme on Ethereum with Graph Traversal Technology.- Based on Financial Characteristics to Capture the Source of Funds of  the Ponzi Scheme on Ethereum with Graph Traversal Technology.- Edge Intelligence and Metaverse Services.- Dynamic Computation Offloading Leveraging Horizontal Task  Offloading and Service Migration in Edge Networks.- Blockchain-Assisted Authentication and Key Agreement Protocol for Cloud-Edge Collaboration.- Towards Efficient and Privacy-preserving Hierarchical Federated Learning for Distributed Edge Network.- Blockchain System Security.- Securing Blockchain Using Propagation Chain Learning.- PrivlĂ­
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