58 citations · 184 across the 35 of their papers we have counts for
15 papers · 1 filter
Cross-Channel: Scalable Off-Chain Channels Supporting Fair and Atomic Cross-Chain Operations
Yihao Guo, Minghui Xu, Dongxiao Yu +3
Cross-chain technology facilitates the interoperability among isolated blockchains on which users can freely communicate and transfer values. Existing cross-chain protocols suffer…
Proof of User Similarity: the Spatial Measurer of Blockchain
Shengling Wang, Lina Shi, Hongwei Shi +3
Although proof of work (PoW) consensus dominates the current blockchain-based systems mostly, it has always been criticized for the uneconomic brute-force calculation. As alternati…
A Trustless Architecture of Blockchain-enabled Metaverse
Minghui Xu, Yihao Guo, Qin Hu +3
Metaverse has rekindled human beings' desire to further break space-time barriers by fusing the virtual and real worlds. However, security and privacy threats hinder us from buildi…
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization
Honglu Jiang, Haotian Yu, Xiuzhen Cheng +3
A large amount of high-dimensional and heterogeneous data appear in practical applications, which are often published to third parties for data analysis, recommendations, targeted…
zk-PCN: A Privacy-Preserving Payment Channel Network Using zk-SNARKs
Wenxuan Yu, Minghui Xu, Dongxiao Yu +3
Payment channel network (PCN) is a layer-two scaling solution that enables fast off-chain transactions but does not involve on-chain transaction settlement. PCNs raise new privacy…
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning
Minghui Xu, Zongrui Zou, Ye Cheng +3
Decentralized learning involves training machine learning models over remote mobile devices, edge servers, or cloud servers while keeping data localized. Even though many studies h…
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing
Qin Hu, Zhilin Wang, Minghui Xu +1
Mobile crowdsensing (MCS) counting on the mobility of massive workers helps the requestor accomplish various sensing tasks with more flexibility and lower cost. However, for the co…
When Blockchain Meets Smart Grids: A Comprehensive Survey
Yihao Guo, Zhiguo Wan, Xiuzhen Cheng
Recent years have witnessed an increasing interest in the blockchain technology, and many blockchain-based applications have been developed to take advantage of its decentralizatio…
Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification
Fangtian Zhong, Zekai Chen, Minghui Xu +3
Malware is a piece of software that was written with the intent of doing harm to data, devices, or people. Since a number of new malware variants can be generated by reusing codes,…
Extending On-chain Trust to Off-chain -- Trustworthy Blockchain Data Collection using Trusted Execution Environment (TEE)
Chunchi Liu, Hechuan Guo, Minghui Xu +4
Blockchain creates a secure environment on top of strict cryptographic assumptions and rigorous security proofs. It permits on-chain interactions to achieve trustworthy properties…
Micro Analysis of Natural Forking in Blockchain Based on Large Deviation Theory
Hongwei Shi, Shengling Wang, Qin Hu +1
Natural forking in blockchain refers to a phenomenon that there are a set of blocks at one block height at the same time, implying that various nodes have different perspectives of…
BLOWN: A Blockchain Protocol for Single-Hop Wireless Networks under Adversarial SINR
Minghui Xu, Feng Zhao, Yifei Zou +3
Known as a distributed ledger technology (DLT), blockchain has attracted much attention due to its properties such as decentralization, security, immutability and transparency, and…
Tokoin: A Coin-Based Accountable Access Control Scheme for Internet of Things
Chunchi Liu, Minghui Xu, Hechuan Guo +7
With the prevalence of Internet of Things (IoT) applications, IoT devices interact closely with our surrounding environments, bringing us unparalleled smartness and convenience. Ho…
MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors
Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu +3
Deep learning is a thriving field currently stuffed with many practical applications and active research topics. It allows computers to learn from experience and to understand the…
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm
Xidi Qu, Shengling Wang, Qin Hu +1
Proof of work (PoW), the most popular consensus mechanism for Blockchain, requires ridiculously large amounts of energy but without any useful outcome beyond determining accounting…