most citedOn the Dilution of Precision for Time Difference of Arrival with Station Deployment

15 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2024★ 1 cited

Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection

Xinchen Zhang, Running Zhao, Zhihan Jiang +4

Intrusion Detection Systems (IDS) are crucial for safeguarding digital infrastructure. In dynamic network environments, both threat landscapes and normal operational behaviors are…

eess.SY2024

Risk Assessment for Nonlinear Cyber-Physical Systems under Stealth Attacks

Guang Chen, Zhicong Sun, Yulong Ding +1

Stealth attacks pose potential risks to cyber-physical systems because they are difficult to detect. Assessing the risk of systems under stealth attacks remains an open challenge,…

cs.CR2024★ 2 cited

AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection

Xinchen Zhang, Running Zhao, Zhihan Jiang +4

The rapid expansion of the Internet of Things (IoT) has raised increasing concern about targeted cyber attacks. Previous research primarily focused on static Intrusion Detection Sy…

eess.SP2021★ 15 cited

On the Dilution of Precision for Time Difference of Arrival with Station Deployment

Fengyun Zhang, Hao Li, Yulong Ding +2

The paper aims to reveal the relationship between the performance of moving object tracking algorithms and the tracking anchors (station) deployment. The Dilution of Precision (DoP…

eess.SY2021

Design and Implementation of Real-Time Localization System (RTLS) based on UWB and TDoA Algorithm

Fengyun Zhang, Li Yang, Yuhuan Liu +3

Nowadays, accurate localization plays an essential role in many fields, like target tracking and path planning. The challenges of indoor localization include inadequate localizatio…