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CRII: SaTC: Discerning the Upgradeability of Smart Contracts in Blockchains From a Security Perspective

CRII: SaTC: Discerning the Upgradeability of Smart Contracts in Blockchains From a Security Perspective
CRII:SaTC:从安全角度辨别区块链智能合约的可升级性
批准号:
2245627
负责人:
Binghui Wang
金额:
$17.48万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-03-15 至 2024-12-31

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中文摘要
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英文摘要
Smart contracts in blockchains, which store cryptocurrencies and tokens worth billions of USD, have transformed many important aspects of our lives, such as finance and gaming. Smart contracts are widely believed to have strong security guarantees as they are immutable once deployed, not even the owner of the contract can change its code. However, a new type of smart contract, namely upgradeable smart contract (USC), allows developers to upgrade the logic of their smart contracts and practically breaks the security assumption. This special type of smart contract has become increasingly prominent and has been adopted by many major companies (e.g., Compound Finance and Opensea.io). Despite the importance, there exists no comprehensive research that studies the status quo of USCs in the wild and even worse, the emerging security risks that are associated with upgradeability. This project conducts a series of novel studies to discern the upgradeability of smart contracts in the real world. Specifically, it answers three essential research questions regarding the importance of USCs in the current market, different design patterns and their strengths and weaknesses, and more importantly, the real-world security risks with USCs. To do so, this project pioneers a practical static analysis-based approach to effectively detect USCs based on intrinsic characteristics, and perform further automatic behavior and security analyses. To differentiate USC design patterns, this project develops a complete taxonomy that can systematically characterize USCs at both syntactic and semantic levels. Moreover, the investigator conducts the first extensive and large-scale study on USCs to uncover and report unique designs and security risks in the real world. Eventually, this project creates the first comprehensive USC dataset that facilitates future research in this emerging direction.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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DOI: --
发表时间: 2023
期刊:
影响因子: --
作者: [William Edward Bodell;Sajad Meisami;Yue Duan]
通讯作者: William Edward Bodell;Sajad Meisami;Yue Duan
Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale
  • 批准号:
    2331302
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.13万
  • 财政年份:
    2024
  • 负责人:
    Binghui Wang
  • 依托单位:
CAREER: Towards Trustworthy Machine Learning via Learning Trustworthy Representations: An Information-Theoretic Framework
  • 批准号:
    2339686
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $54.8万
  • 财政年份:
    2024
  • 负责人:
    Binghui Wang
  • 依托单位:
CRII: SaTC: Towards Understanding the Robustness of Graph Neural Networks against Graph Perturbations
  • 批准号:
    2241713
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.5万
  • 财政年份:
    2023
  • 负责人:
    Binghui Wang
  • 依托单位:
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