BitPredict: End-to-End Context-Aware Detection of Anomalies in Bitcoin Transactions using Stack Model Network
Author:
Affiliation:
1. SRM Institute of Science and Technology, Ramapuram,School of Computing,Department of Computer Science and Engineering,Chennai,India,600089
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601631/10601667/10602116.pdf?arnumber=10602116
Reference15 articles.
1. Anomaly Detection in the Bitcoin System - A Network Perspective;Pham;arXiv preprint arXiv:1611.03942,2016
2. Exploration of Mined Block Temporarily Holding and Enforce Fork Attacks by Selfish Mining Pool;Wen;Proof-of-Work Blockchain System IEEE Access,2022
3. Function Virtualization Can Play a Great Role in Blockchain Consensus
4. Mining Pool Game Model and Nash Equilibrium Analysis for PoW-Based Blockchain Networks
5. Dynamic Game Model for Ranking Bitcoin Transactions Under GSP Mechanism
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