Xin Wang (Tsinghua University and State Key Laboratory of Cryptography and Digital Economy Security), Haochen Wang (Tsinghua University), Haibin Zhang (Yangtze Delta Region Institute of Tsinghua University, Zhejiang), Sisi Duan (Tsinghua University, Zhongguancun Laboratory, Shandong Institute of Blockchains and State Key Laboratory of Cryptography and Digital Economy Security)

Byzantine fault-tolerant (BFT) protocols are known to suffer from the scalability issue. Indeed, their performance degrades drastically as the number of replicas n grows. While a long line of work has attempted to achieve the scalability goal, these works can only scale to roughly a hundred replicas, particularly on low-end machines.

In this paper, we develop BFT protocols from the so-called committee sampling approach that selects a small committee for consensus and conveys the results to all replicas. Such an approach, however, has been focused on the Byzantine agreement (BA) problem (considering replicas only) instead of the BFT problem (in the client-replica model); also, the approach is mainly of theoretical interest only, as concretely, it works for impractically large n.

We build an extremely efficient, scalable, and adaptively secure BFT protocol called Pando in partially synchronous environments based on the committee sampling approach. Our evaluation on Amazon EC2 shows that in contrast to existing protocols, Pando can easily scale to a thousand replicas in the WAN environment, achieving a throughput of 62.57 ktx/sec.

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The Case for LLM-Enhanced Backward Tracking

Jiahui Wang (Zhejiang University, Hangzhou, China), Xiangmin Shen (Hofstra University, Hempstead, NY, USA), Zhengkai Wang (Zhejiang University, Hangzhou, China), Zhenyuan Li (Zhejiang University, Hangzhou, China)

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Fast Pointer Nullification for Use-After-Free Prevention

Yubo Du (University of Pittsburgh), Youtao Zhang (University of Pittsburgh), Jun Yang (University of Pittsburgh)

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WCDCAnalyzer: Scalable Security Analysis of Wi-Fi Certified Device Connectivity...

Zilin Shen (Purdue University), Imtiaz Karim (The University of Texas at Dallas), Elisa Bertino (Purdue University)

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