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KSG: A Symbolic Semantics Graph Generation Method of Smart Contract Based on the K Framework
Jie Li1,2, Yucheng Zhao1, Xiaoyu Yang1
1School of Computer Science and Artificial Intelligence, Beijing Wuzi University, Beijing, China.
This study introduces KSG, a novel semantic graph generation approach for blockchain smart contracts. KSG simplifies formal verification by transforming contract code into a graph, enhancing security analysis and developer understanding.
Area of Science:
- Computer Science
- Blockchain Technology
- Formal Methods
Background:
- Formal semantics of blockchain smart contracts are crucial for verification and security analysis.
- Current methods using mathematical logic present high entry barriers and integration challenges with other program analysis techniques.
Purpose of the Study:
- To propose a novel semantic graph generation approach (KSG) for blockchain smart contracts.
- To overcome the limitations of traditional formal methods by providing a more accessible and integrable analysis framework.
Main Methods:
- Formally defining semantic rules for contract languages.
- Constructing a semantic interpreter and prover to automatically convert smart contract code into a scalable semantic graph.
- The graph integrates semantic control flow, data flow, execution rules, and verification constraints.
Main Results:
- The KSG approach generates a comprehensive semantic graph representing smart contract logic.
- The generated graph facilitates vulnerability detection and symbolic execution.
- The approach supports iterative optimization based on analysis outcomes.
Conclusions:
- The KSG approach offers a more accessible and practical method for formal verification of blockchain smart contracts.
- This technique enhances security analysis and aids developers in understanding contract execution.
- Demonstrated effectiveness through verification of reentrancy and honeypot contracts.
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