Huibo Wang (Baidu Security), Guoxing Chen (Shanghai Jiao Tong University), Yinqian Zhang (Southern University of Science and Technology), Zhiqiang Lin (Ohio State University)

Proof-of-Elapsed-Time (POET) is a blockchain consensus protocol in which each participating node is required to wait for the passage of a specified time duration before it can participate in the block leader election in each round. It relies on trusted execution environments, such as Intel SGX, to ensure its security, and has been implemented in Hyperledger Sawtooth and used in many real-world settings. This paper examines the security issues including fairness guarantees of the Sawtooth’s POET design and implementation, and discovers a new category of security attacks against POET, dubbed Multi-Certificate Attacks, which allows a malicious node to unfairly create multiple Certificates in each round of block leader election and select the one that maximizes her probability of winning. We have systematically analyzed the root causes of these attacks and assisted the Sawtooth community to fix several vulnerabilities in the latest version of POET. To further mitigate the identified threats, we propose a new design of POET in this paper, which we call POETA, that can be used to address the remaining vulnerabilities we have discovered. We have implemented POETA and evaluated its security and performance.

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Tommaso Frassetto (Technical University of Darmstadt), Patrick Jauernig (Technical University of Darmstadt), David Koisser (Technical University of Darmstadt), Ahmad-Reza Sadeghi (Technical University of Darmstadt)

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Chongzhou Fang (University of California, Davis), Han Wang (University of California, Davis), Najmeh Nazari (University of California, Davis), Behnam Omidi (George Mason University), Avesta Sasan (University of California, Davis), Khaled N. Khasawneh (George Mason University), Setareh Rafatirad (University of California, Davis), Houman Homayoun (University of California, Davis)

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Ioanna Tzialla (New York University), Abhiram Kothapalli (Carnegie Mellon University), Bryan Parno (Carnegie Mellon University), Srinath Setty (Microsoft Research)

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