Radar 2: Passive Spy Radar Detection and Localization Using COTS mmWave Radar

Author:

Qiu Yanlong1ORCID,Zhang Jiaxi2ORCID,Chen Yanjiao3ORCID,Zhang Jin4ORCID,Ji Bo5ORCID

Affiliation:

1. Department of Computer and Information Science, Temple University, Philadelphia, PA, USA

2. Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

3. College of Electrical Engineering, Zhejiang University, Hangzhou, China

4. Department of Computer Science and Engineering, Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China

5. Department of Computer Science, Virginia Tech, Blacksburg, VA, USA

Funder

Shenzhen Key Laboratory of Safety and Security for Next Generation of Industrail Internet, Southern University of Science and Technology, Shenzhen, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Reference51 articles.

1. Neural network detection and identification of electronic devices based on their unintended emissions;weng;Proc Int Symp Electromagn Compat,2005

2. Detection of RF devices based on their unintended electromagnetic emissions using Principal Components Analysis

3. Proofs of the Nyquist–Shannon sampling theorem;gruber;Proc Konstanzer Online-Publikations-Syst (KOPS),2013

4. System for Detection of Malicious Wireless Device Patterns

5. SpiralSpy: Exploring a Stealthy and Practical Covert Channel to Attack Air-gapped Computing Devices via mmWave Sensing

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust Deep Learning-based Indoor mmWave Channel Prediction Under Concept Drift;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

2. Hardware Deployable Radar Spectrum-based CNN classifier for Drone targets;2023 20th European Radar Conference (EuRAD);2023-09-20

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