Time-aware metapaths can capture real temporal account interaction patterns, and the proposed Time-aware Metapath Feature Augmentation (TMFAug) module can effectively improve the performance of existing Ponzi detection methods on Ethereum.
Mitigating Last Revealer Attacks in Ethereum 2.0 through SSS-based RANDAO scheme.
The authors propose new defense systems utilizing learning automata to mitigate risks associated with double-spending and selfish mining attacks in blockchain networks.