Titlebook: Blockchain and Trustworthy Systems; Second International Zibin Zheng,Hong-Ning Dai,Benhui Chen Conference proceedings 2020 Springer Nature

MOAT

MITE

laceration

PBFT Consensus Performance Optimization Method for Fusing C4.5 Decision Tree in Blockchainetwork, and effectively reduces the non-honesty node as the primary node. On this basis, the voting weight is introduced. Consistency verification can be completed only by considering a small number of trusted nodes voting weights, thereby reducing the number of messages broadcasted in the network.

油毡

ensemble

Blockchain-Based Participant Selection for Federated Learningices from being selected. For the second phase, we devise a participant-selection algorithm that enables the FL server to select the appropriate group of devices for each round of FL-training. We believe that our study can shed new light on the joint research of blockchain and federated learning.

沙草纸

mitral-valve

intoxicate

Panacea

Detection of Smart Ponzi Schemes Using Opcodee 0.98, 0.93 and 0.95 respectively by experiments. Smart Ponzi schemes hidden on Ethereum are detected effectively by the model. More importantly, the performance of model is guaranteed at any moment in the lifecycle, even at the birth of a smart Ponzi scheme.

Irksome

Towards on Blockchain Data Privacy Protection with Cryptography and Software Architecture Approachdata as much as possible, so as to improve the system performance and protect the security and privacy of user data. At the same time, we study data privacy protection from the perspective of software architecture, and propose a data privacy protection scheme through algorithm decomposition multi ce