English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The security of smart contracts, which are an important part of blockchaintechnology, has attracted much attention. In particular, reentrancyvulnerability, which is hidden and complex, poses a great threat to smartcontracts. In order to improve the existing detection methods, which exhibitlow efficiency and accuracy, in this paper, we propose a smart contract threatdetection technology based on symbolic execution. In this method, first, therecursive descent algorithm is used to recover the basic blocks of contractcode and control flow diagram, and static type inference is performed forstatic single assignment (SSA) variables. Then, the control flow diagram isencoded into constrained horn clause (CHC) constraints in combination with thesymbolic execution technology. Model checking is conducted for the generatedconstraints using an automatic theorem prover based on the abstractionrefinement technique for fast static detection of common security threats insmart contracts. Compared with existing detection methods, the method proposedin this paper allows the detection of both the checks-effects-interactionspattern and the vulnerability in relation to reentrant locks. It can simulatethe state changes of reentrant locks as well as other global variables inmultiple recursive transactions. The experimental results show that this methodsignificantly increases both detection efficiency and accuracy, improving thesecurity of smart contracts.

Blockchain Smart Contract Threat Detection Technology Based on Symbolic Execution