EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain

Patel, V; Rajasegarar, Sutharshan; Pan, Lei; Liu, J; Zhu, L

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain

conference contribution

posted on 2023-02-22, 05:28 authored by V Patel, Sutharshan RajasegararSutharshan Rajasegarar, Lei Pan, J Liu, L Zhu

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain

History

Volume

13725

Pagination

444-456

Location

Brisbane, Qld.

Start date

2022-11-28

End date

2022-11-30

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783031220630

Language

English

Publication classification

E1 Full written paper - refereed

Title of proceedings

ADMA 2022 : Proceedings of the 18th International Conference on Advanced Data Mining and Applications 2022

Event

International Conference on Advanced Data Mining and Applications. (18th : 2022 : Brisbane, Qld.)

Publisher

Springer

Place of publication

Cham, Switzerland

Series

Lecture Notes in Computer Science

Publication URL

http://dx.doi.org/10.1007/978-3-031-22064-7_32

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Keywords

anomaly detection blockchain transaction data evolving graph convolutional network dynamic graph convolutional network

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain

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