Chenxu Wang (Shandong University), Sisi Duan (Tsinghua University), Minghui Xu (Shandong University), Feng Li (Shandong University), Xiuzhen Cheng (Shandong University)

We study consensus in the known participation model with both Byzantine failures and sleepy replicas, where honest replicas may unpredictably fall asleep, and replicas know the minimum number of awake honest replicas. Our main contribution is providing a fine-grained treatment of consensus in such a mixed failure model. First, we present a synchronous atomic broadcast protocol with $5Delta+2delta$ expected latency and $2Delta+2delta$ best-case latency, where $Delta$ is the bound on network delay and $delta$ is the actual network delay. Second, in the partially synchronous network (the value of $Delta$ is unknown), we show that one can make a conventional Byzantine fault-tolerant (BFT) protocol tolerate sleepy replicas but has to make the stable storage assumption (where replicas need to store intermediate consensus parameters in stable storage). Finally, in the partially synchronous network but not assuming stable storage, we show several bounds on the relationship between the total number of replicas $n$, the maximum number of Byzantine replicas $f$, and the maximum number of simultaneous sleeping replicas $s$. Using these bounds, we transform HotStuff (PODC'19) into a protocol that tolerates sleepy replicas without sacrificing the performance.

View More Papers

Looma: A Low-Latency PQTLS Authentication Architecture for Cloud Applications

Xinshu Ma (University of Edinburgh), Michio Honda (University of Edinburgh)

Read More

UsersFirst in Practice: Evaluating a User-Centric Threat Modeling Taxonomy...

Alexandra Xinran Li (Carnegie Mellon University), Tian Wang (University of Illinois Urbana-Champaign), Yu-Ju Yang (University of Illinois Urbana-Champaign), Miguel Rivera-Lanas (Carnegie Mellon University), Debeshi Ghosh (Carnegie Mellon University), Hana Habib (Carnegie Mellon University), Lorrie Cranor (Carnegie Mellon University), Norman Sadeh (Carnegie Mellon University)

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