Shuangquan Tan

dblp:192/6179 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0005-4506-8476ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Security and privacy · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › consensus
byzantine broadcast
1.012026
Customizable Information Dispersal-Based Byzantine Broadcast With Communication Optimization Using Bloom Filters · IEEE Trans. Dependable Secur. Comput. 2026
Distributed systems › fault tolerance
byzantine fault tolerance
1.012026
Customizable Information Dispersal-Based Byzantine Broadcast With Communication Optimization Using Bloom Filters · IEEE Trans. Dependable Secur. Comput. 2026
Distributed systems › replication
state machine replication
1.012026
Customizable Information Dispersal-Based Byzantine Broadcast With Communication Optimization Using Bloom Filters · IEEE Trans. Dependable Secur. Comput. 2026
Coding theory › error-correcting codes
erasure coding
0.312026
Customizable Information Dispersal-Based Byzantine Broadcast With Communication Optimization Using Bloom Filters · IEEE Trans. Dependable Secur. Comput. 2026
Coding theory
error-correcting codes
0.312026
Customizable Information Dispersal-Based Byzantine Broadcast With Communication Optimization Using Bloom Filters · IEEE Trans. Dependable Secur. Comput. 2026

Methods — techniques the papers use, named apart from their topics

erasure codes · 2.0bloom filter · 2.0error-correction code · 1.0error correction codes · 1.0
YearPublicationVenuePosition
2026 Customizable Information Dispersal-Based Byzantine Broadcast With Communication Optimization Using Bloom Filters
abstract
Byzantine Fault-tolerant State Machine Replication (BFT SMR) is essential for ensuring the security of high-level services such as blockchain, particularly in scenarios where a subset of nodes may exhibit arbitrary faults. As Byzantine Fault-tolerant broadcast in asynchronous networks is a core component of BFT SMR, this paper studies this broadcast primitive. We propose a novel broadcast protocol in which nodes encode large messages$M$using erasure codes, aggregate the encoded codewords into a vector via a Bloom filter, and employ error correction codes to encode the vector. This approach achieves the known lower bound on the communication complexity of$O(|M|n+\kappa n^{2})$, where$\kappa$represents the output size of a collision-resistant hash function and$n$is the total number of nodes. Performance tests in the Amazon cloud environment demonstrate that when nodes broadcast large messages ($|M|\gg \kappa n^{2}$), the throughput of the new protocol is twice that of existing solutions. Furthermore, the Bloom filter enables the broadcast protocol to possess customizable features for the first time, allowing developers to reduce communication costs through parameter tuning.
Shuangquan Tan, Shengyun Liu
IEEE Trans. Dependable Secur. Comput.1
2017 Concurrently deniable ring authentication and its application to LBS in VANETs
Shengke Zeng, Shuangquan Tan, Mingxing He
Peer-to-Peer Netw. Appl.3