• Corpus ID: 209370541

Blockchain Intelligence: When Blockchain Meets Artificial Intelligence

@article{Zheng2019BlockchainIW,
  title={Blockchain Intelligence: When Blockchain Meets Artificial Intelligence},
  author={Zibin Zheng and Hongning Dai},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.06485}
}
Blockchain is gaining extensive attention due to its provision of secure and decentralized resource sharing manner. However, the incumbent blockchain systems also suffer from a number of challenges in operational maintenance, quality assurance of smart contracts and malicious behaviour detection of blockchain data. The recent advances in artificial intelligence bring the opportunities in overcoming the above challenges. The integration of blockchain with artificial intelligence can be… 

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References

SHOWING 1-10 OF 18 REFERENCES
A Survey on the Security of Blockchain Systems
Untangling Blockchain: A Data Processing View of Blockchain Systems
TLDR
This paper conducts a comprehensive evaluation of three major blockchain systems based on BLOCKBENCH, namely Ethereum, Parity, and Hyperledger Fabric, and discusses several research directions for bringing blockchain performance closer to the realm of databases.
A Detailed and Real-Time Performance Monitoring Framework for Blockchain Systems
TLDR
This work proposes overall performance metrics and detailed performance metrics for the users to know the exact performance in different stages of the blockchain, and implements a performance monitoring framework with a log-based method.
AI and Blockchain: A Disruptive Integration
AI and blockchain are among the most disruptive technologies and will fundamentally reshape how we live, work, and interact. The authors summarize existing efforts and discuss the promising future of
Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology
TLDR
By verifying smart contracts on Ethereum, this paper first extracts features from user accounts and operation codes of the smart contracts and then builds a classification model to detect latent Ponzi schemes implemented as smart contracts, and shows that the proposed approach can achieve high accuracy for practical use.
Blockchain for explainable and trustworthy artificial intelligence
TLDR
A framework for achieving a more trustworthy and XAI by leveraging features of blockchain, smart contracts, trusted oracles, and decentralized storage is proposed and specified for complex AI systems in which the decision outcomes are reached based on decentralized consensuses of multiple AI andXAI predictors.
Making Smart Contracts Smarter
TLDR
This paper investigates the security of running smart contracts based on Ethereum in an open distributed network like those of cryptocurrencies, and proposes ways to enhance the operational semantics of Ethereum to make contracts less vulnerable.
Understanding Ethereum via Graph Analysis
TLDR
This paper designs a new approach to collect all transaction data, constructs three graphs from the data to characterize major activities on Ethereum, and proposes new approaches based on cross-graph analysis to address two security issues in Ethereum.
Under-optimized smart contracts devour your money
TLDR
This work conducts the first investigation on Solidity, the recommended compiler, and reveals that it fails to optimize gas- costly programming patterns, and proposes and develops GASPER, a new tool for automatically locating gas-costly patterns by analyzing smart contracts' bytecodes.
Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network
TLDR
It is concluded that there was serious market manipulation in Mt. Gox exchange and the cryptocurrency market must strengthen the supervision.
...
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