Xuanji Meng

dblp:336/5377 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2025
—ORCID · none

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

Systems, architecture and hardware · 2 · 2 since 2021Security and privacy · 2 · 1 first-author · 2 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.

Network and information security
2 papers
Cryptographic protocols and secure computation · 100%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic protocols and secure computation › key management
distributed key generation
0.912025
Everything Distributed and Asynchronous: A Practical System for Key Management Service · IEEE Trans. Parallel Distributed Syst. 2025
Cryptographic protocols and secure computation
key management
0.912025
Everything Distributed and Asynchronous: A Practical System for Key Management Service · IEEE Trans. Parallel Distributed Syst. 2025
Cryptographic protocols and secure computation › distributed randomness
randomness beacon
0.912025
Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon · NDSS 2025
Distributed systems
distributed coordination
0.912025
Everything Distributed and Asynchronous: A Practical System for Key Management Service · IEEE Trans. Parallel Distributed Syst. 2025
Distributed systems › distributed algorithms
distributed randomness
0.912025
Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon · NDSS 2025
Distributed systems
fault tolerance
0.912025
Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon · NDSS 2025
Cryptographic protocols and secure computation
secure multiparty computation
0.312025
Everything Distributed and Asynchronous: A Practical System for Key Management Service · IEEE Trans. Parallel Distributed Syst. 2025

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

reconfiguration · 1.7asynchronous distributed key refresh · 1.7asynchronous distributed key generation · 1.7
YearPublicationVenuePosition
2025 Rondo: Scalable and Reconfiguration-Friendly Randomness Beacon
Xuanji Meng, Zhaoxin Yang, Kang Rong, Wenbo Xu 0002, Shenglong Chen, Ying Yan 0002, Sisi Duan
NDSS1
2025 Everything Distributed and Asynchronous: A Practical System for Key Management Service
abstract
A key management service (KMS) is vital to modern mission-critical systems. At the core of KMS are the key generation process and the key refresh process. In this paper, we design and implement a purely asynchronous system for completely distributed KMS supporting traditional applications such as threshold cryptosystems and multiparty computation (MPC) as well as emerging blockchains and Web3 applications. In this system, we have built a number of new asynchronous distributed key generation (ADKG) protocols and their corresponding asynchronous distributed key refresh (ADKR) protocols. We have demonstrated that our ADKG and ADKR protocols in the standard model outperform existing ones of the same kind, while our protocols in the random oracle model (ROM) are more efficient than other protocols with small and medium-sized networks.
Zhaoyang Xie, Sisi Duan, Chao Liu 0039, Shengli Liu 0001, Xuanji Meng, Yong Yu 0002, Fangguo Zhang, Boxin Zhao, Liehuang Zhu, Tianqing Zhu
IEEE Trans. Parallel Distributed Syst.6
2023 Practical Asynchronous Distributed Key Generation: Improved Efficiency, Weaker Assumption, and Standard Model
abstract
Distributed key generation (DKG) allows bootstrapping threshold cryptosystems without relying on a trusted party, nowadays enabling fully decentralized applications in blockchains and multiparty computation (MPC). While we have recently seen new advancements for asynchronous DKG (ADKG) protocols, their performance remains the bottleneck for many applications, with only one protocol being implemented (DYX+ ADKG, IEEE S&P 2022). DYX+ ADKG relies on the Decisional Composite Residuosity assumption (being expensive to instantiate) and the Decisional Diffie-Hellman assumption, incurring a high latency (more than 100s with a failure threshold of 16). Moreover, the security of DYX+ ADKG is based on the random oracle model (ROM) which takes hash function as an ideal function; assuming the existence of random oracle is a strong assumption, and up to now, we cannot find any theoretically-sound implementation. Furthermore, the ADKG protocol needs public key infrastructure (PKI) to support the trustworthiness of public keys. The strong models (ROM and PKI) further limit the applicability of DYX+ ADKG, as they would add extra and strong assumptions to underlying threshold cryptosystems. For instance, if the original threshold cryptosystem works in the standard model, then the system using DYX+ ADKG would need to use ROM and PKI. In this paper, we design and implement a modular ADKG protocol that offers improved efficiency and stronger security guarantees. We explore a novel and much more direct reduction from ADKG to the underlying blocks, reducing the computational overhead and communication rounds of ADKG in the normal case. Our protocol works for both the low-threshold and high-threshold scenarios, being secure under the standard assumption (the well-established discrete logarithm assumption only) in the standard model (no trusted setup, ROM, or PKI).
Sisi Duan, Chao Liu 0039, Boxin Zhao, Xuanji Meng, Shengli Liu 0001, Yong Yu 0002, Fangguo Zhang, Liehuang Zhu
DSN5