Haixia Xu 0002

dblp:26/5544-2 · DBLP profile ↗
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16ranked-venue papers
2as first author
5since 2021 · last 2026
0000-0002-3833-6701ORCID · conflict

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

Security and privacy · 11 · 1 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 1 first-authorSystems, architecture and hardware · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
YearPublicationVenuePosition
2026 PChain: A scalable and efficient parallel-chain consensus protocol
Huimei Liao, Haixia Xu 0002, Siyuan Leng, Jinling Tang, Yaobing Xu, Yinchang Zhou
Future Gener. Comput. Syst.2
2026 NunChuck: A Two-Phase Chained BFT Protocol for Tolerating the Partitioning Attack
abstract
Popular chained Byzantine Fault Tolerant (BFT) consensus protocols adopt a pipelined paradigm to achieve efficiency. However, these protocols remain vulnerable to critical attacks, such as forking and partitioning. While the two-phase commit rule can prevent forking, it often requires complex or expensive view-change mechanisms. Moreover, our study confirms that partitioning attacks are feasible in many existing chained BFT protocols. This paper devised NunChuck, a fully two-phase chained BFT protocol that ensures linear authenticator complexity, optimistic responsiveness, and resilience to partitioning attacks. NunChuck employs a lightweight certificate-based view-change mechanism to maintain efficiency, and introduces a unified message structure that enables leaders to make progress even under partitioned network conditions. We formally prove its safety and liveness properties. Furthermore, we develop a prototype implementation in Golang and conduct extensive evaluations. The results demonstrate that NunChuck consistently outperforms HotStuff and FastHotStuff, particularly in adversarial environments, with simulated delay analysis further corroborating our experimental findings.
Huimei Liao, Haixia Xu 0002, Mingsheng Wang, Jinling Tang, Siyuan Leng, Chunying Peng
IEEE Trans. Dependable Secur. Comput.2
2024 A Flexible and Scalable Malicious Secure Aggregation Protocol for Federated Learning
abstract
Secure aggregation becomes a major solution to providing privacy for federated learning. Secure aggregation for mobile devices typically relies on Shamir secret sharing (SSS) to achieve dropout robustness, but limits the system’s corruption and dropout tolerance. Although Prio+, a state-of-the-art method utilizing two non-colluding servers, avoids such limitations, its effectiveness is only against honest-but-curious servers. Thus, this paper presents a novel secure aggregation protocol in the malicious model. The proposed protocol uses a non-colluding server and initiator to achieve almost full (up ton-2) corruption and dropout tolerance, and exploits our discrete-logarithm (DL) extractable and equivocable commitment scheme to achieve malicious security. The proposed protocol’s security is proven in two models: malicious users colluding with the server and malicious users colluding with the initiator. Finally, a prototype of the developed protocol is implemented, with the experimental results demonstrating that our protocol is efficient and suitable for both cross-device and cross-silo federated learning scenarios. Compared with the sum protocol of Prio+, the proposed protocol achieves malicious security with affordable additional overhead, i.e., 4.8 to 6.1 times more computation cost and 2.8 to 2.9 times more communication cost for a single user.
Jinling Tang, Haixia Xu 0002, Mingsheng Wang, Chunying Peng, Huimei Liao
IEEE Trans. Inf. Forensics Secur.2
2021 The Golden Snitch: A Byzantine Fault Tolerant Protocol with Activity
Huimei Liao, Haixia Xu 0002, Peili Li
ICICS (1)2
2021 An efficient identity tracing scheme for blockchain-based systems
Peili Li, Haixia Xu 0002, Tianjun Ma
Inf. Sci.2
2020 A Blockchain Traceable Scheme with Oversight Function
Tianjun Ma, Haixia Xu 0002, Peili Li
ICICS2
2020 Secure two-party SM9 signing
Yongheng Mu, Haixia Xu 0002, Peili Li, Tianjun Ma
Sci. China Inf. Sci.2
2017 A User-Friendly Centrally Banked Cryptocurrency
Haixia Xu 0002
ISPEC3
2015 Multi-client Outsourced Computation
Peili Li, Haixia Xu 0002, Yuanyuan Ji
Inscrypt2
2015 Multi-input Functional Encryption and Its Application in Outsourcing Computation
Peili Li, Haixia Xu 0002, Yuanyuan Ji
ICICS2
2015 Complementary witness soundness for witness indistinguishable proof system and CCA2 public-key encryption schemes
abstract
We introduce the notion of complementary-witness-soundness for a witness indistinguishable proof system. We then present a new general framework for public key encryption schemes, denoted as CWSWI-type encryption, based on a complementary-witness-sound witness indistinguishable (CWSWI) proof system. The construction of a CWSWI-type encryption scheme is relatively straightforward, while the security thereof against adaptive chosen ciphertext attack (denoted CCA2) can be rigorously proven. Many existing CCA2 public key encryption schemes can be interpreted as being of CWSWI-type, including the schemes of Lindell, Cramer-Shoup and Peikert-Waters. Thus, our CWSWI approach provides a novel means for designing and analysing CCA2 secure public key encryption schemes.
Haixia Xu 0002, Bao Li 0001, Qixiang Mei
Int. J. Inf. Comput. Secur.1
2014 Private Outsourcing of Polynomial Functions
abstract
We study the problems of outsourcing computation where a computational weak client outsources its computation task to a powerful server. Our work focuses on the research about outsourcing polynomial functions. Based on Zhang and Safavi-Naini's work, we construct a private outsourcing computation scheme for polynomial functions. Our scheme can keep privacy of the outsourced data and function. It is efficient in the sense of amortization and satisfies public verification. Compared with Zhang and Safavi-Naini's work, our construction uses a new efficient verify-method and makes the verification process public (any other clients can verify the correctness of the results returned by the server using the public key).
Peili Li, Haixia Xu 0002, Jiaqi Hong
TrustCom2
2012 Non-malleable Instance-Dependent Commitment in the Standard Model
Wenpan Jing, Haixia Xu 0002, Bao Li 0001
ACISP2
2011 Key-Dependent Message Security for Division Function: Discouraging Anonymous Credential Sharing
Xianhui Lu, Bao Li 0001, Qixiang Mei, Haixia Xu 0002
ProvSec4
2010 On constant-round zero-knowledge proofs of knowledge for NP-relations
Hongda Li 0001, Haixia Xu 0002, Bao Li 0001, Dengguo Feng
Sci. China Inf. Sci.2
2007 Relationship Between a Non-Malleable Commitment Scheme and a Modified Selective Decommitment Scheme
Haixia Xu 0002, Bao Li 0001
J. Comput. Sci. Technol.1