DeepSIM: GPS Spoofing Detection on UAVs using Satellite Imagery Matching-Reference-Cited by-同舟云学术

DeepSIM: GPS Spoofing Detection on UAVs using Satellite Imagery Matching

Published:2020-12-07 Issue: Volume: Page:
ISSN:
Container-title:Annual Computer Security Applications Conference
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Author:

Xue Nian¹,Niu Liang²,Hong Xianbin³,Li Zhen⁴,Hoffaeller Larissa⁵,Pöpper Christina⁶

Affiliation:

1. New York University, United States of America

2. New York University United States of America

3. University of Liverpool United Kingdom

4. Nanjing University of Aeronautics and Astronautics School of Artificial Intelligence and Shanghai Grandhonor Infotech Co. Ltd., China

5. Hasso Plattner Institute Germany

6. New York University Abu Dhabi, United Arab Emirates

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3427228.3427254

Reference67 articles.

1. Who's Afraid of the Spoofer? GPS/GNSS Spoofing Detection via Automatic Gain Control (AGC)

2. A sum-of-squares approach to GNSS spoofing detection

3. A Vision-Based Guidance System for UAV Navigation and Safe Landing using Natural Landmarks

4. Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro and Evan Shelhamer. 2014. cuDNN: Efficient Primitives for Deep Learning. CoRR abs/1410.0759(2014). arxiv:1410.0759http://arxiv.org/abs/1410.0759 Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro and Evan Shelhamer. 2014. cuDNN: Efficient Primitives for Deep Learning. CoRR abs/1410.0759(2014). arxiv:1410.0759http://arxiv.org/abs/1410.0759

5. Learning a Similarity Metric Discriminatively, with Application to Face Verification

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