Xiaojian Wang

College of Engineering

2023 journal article

Cross-Domain Industrial Intrusion Detection Deep Model Trained With Imbalanced Data


By: Y. Chen*, S. Su*, D. Yu*, H. He*, X. Wang n, Y. Ma*, H. Guo*

author keywords: Attention mechanism; domain-adversarial train-ing; industrial control system (ICS); intrusion detection system (IDS); transfer learning (TL)
TL;DR: This article enhanced the information transmission link in adversarial domain adaptation (DA) and proposed an information-enhanced adversarial DA (IADA) method that could train a cross-domain industrial intrusion detection deep model with imbalanced data and maintained high detection accuracy. (via Semantic Scholar)
Source: Web Of Science
Added: February 13, 2023

2023 article

Fence: Fee-Based Online Balance-Aware Routing in Payment Channel Networks

Wang, X., Yu, R., Yang, D., Xue, G., Gu, H., Li, Z., & Zhou, F. (2023, October 16). IEEE-ACM TRANSACTIONS ON NETWORKING, Vol. 10.

By: X. Wang n, R. Yu n, D. Yang*, G. Xue*, H. Gu n, Z. Li n, F. Zhou n

author keywords: Routing; Throughput; Blockchains; Bitcoin; Security; Scalability; Privacy; Blockchain; payment channel network; routing; online algorithm; competitive analysis
Sources: Web Of Science, NC State University Libraries
Added: November 13, 2023

2022 article

FedAegis: Edge-Based Byzantine-Robust Federated Learning for Heterogeneous Data


By: F. Zhou n, R. Yu n, Z. Li n, H. Gu n & X. Wang n

Contributors: F. Zhou n, R. Yu n, Z. Li n, H. Gu n & X. Wang n

author keywords: Federated learning; edge computing; data heterogeneity; Byzantine robustness; distributionally robust optimization
TL;DR: Experiments show that the proposed FedAegis algorithm can achieve convergence and high accuracy under heterogeneous data and various attack scenarios, while state-of-the-art defenses and robustness mechanisms are non-converging or have reduced average and/or worst-case accuracy. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 4, 2022

2022 article

Why Riding the Lightning? Equilibrium Analysis for Payment Hub Pricing


By: X. Wang n, H. Gu n, Z. Li n, F. Zhou n, R. Yu n & D. Yang*

Event: IEEE

author keywords: Payment channel network; game theory; price-setting competition; Bertrand competition
TL;DR: This paper applies equilibrium analysis to the price-setting game between two payment hubs in the PCN with limited channel capacities and partial overlap demand and analyzes existence of pure Nash Equilibriums (NEs) and bounds on the equilibrium revenue under various cases, and proposes an algorithm to find all pure NEs. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 4, 2022

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