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.

View More Papers

SACK: Systematic Generation of Function Substitution Attacks Against Control-Flow...

Zhechang Zhang (The Pennsylvania State University), Hengkai Ye (The Pennsylvania State University), Song Liu (University of Delaware), Hong Hu (The Pennsylvania State University)

Read More

Cognitive Threat Detection for SOC Operations: Automating Manipulation Tactic...

Keerthana Madhavan (School of Computer Science, University of Guelph, Canada), Luiza Antonie (School of Computer Science; CARE-AI, University of Guelph, Canada), Stacey D. Scott, School of Computer Science; CARE-AI, University of Guelph, Canada)

Read More

FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking...

Shaoyuan Xie (University of California, Irvine), Mohamad Habib Fakih (University of California, Irvine), Junchi Lu (University of California, Irvine), Fayzah Alshammari (University of California, Irvine), Ningfei Wang (University of California, Irvine), Takami Sato (University of California, Irvine), Halima Bouzidi (University of California Irvine), Mohammad Abdullah Al Faruque (University of California, Irvine), Qi Alfred Chen (University…

Read More