How Can the Adversary Effectively Identify Cellular IoT Devices Using LSTM Networks?
Author:
Affiliation:
1. Rider University, Lawrenceville, NJ, USA
2. University of Oklahoma, Tulsa, OK, USA
3. University of South Florida, Tampa, FL, USA
4. Virginia Tech, Blacksburg, VA, USA
Funder
NSF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3586209.3591394
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3. DeepWiFi: Cognitive WiFi with Deep Learning
4. Tugba Erpek , Timothy J O'Shea , Yalin E Sagduyu , Yi Shi , and T Charles Clancy . 2020. Deep learning for wireless communications. Development and Analysis of Deep Learning Architectures ( 2020 ), 223--266. Tugba Erpek, Timothy J O'Shea, Yalin E Sagduyu, Yi Shi, and T Charles Clancy. 2020. Deep learning for wireless communications. Development and Analysis of Deep Learning Architectures (2020), 223--266.
5. Arvin Hekmati Nishant Jethwa Eugenio Grippo and Bhaskar Krishnamachari. 2023. Large-Scale Urban IoT Dataset. https://doi.org/10.21227/dtfr-b327 10.21227/dtfr-b327
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