Publication: Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors
Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors
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Celdrán, A. H., Sánchez, P. M. S., Bovet, G., Pérez, G. M., & Stiller, B. (2022, May 20). Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors. ICC 2022 - IEEE International Conference on Communications, Seoul. https://doi.org/10.1109/ICC45855.2022.9839001
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Data confidentiality protection is a must for IoT and crowdsensing platforms, and a challenge due to the constrained nature of their sensors. Currently, the combination of device fingerprinting and anomaly detection systems based on Machine and Deep Learning (ML/DL) techniques is one of the most promising approaches to detect zero-day cyberattacks. However, most of existing work is not suitable for resource-constrained devices or does not deal with cyberattacks affecting data confidentiality of spectrum sensors. Thus, this paper propo
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- Sánchez, Pedro Miguel Sánchez
- Bovet, Gérôme
- Pérez, Gregorio Martínez
- Stiller, Burkhard
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Celdrán, A. H., Sánchez, P. M. S., Bovet, G., Pérez, G. M., & Stiller, B. (2022, May 20). Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors. ICC 2022 - IEEE International Conference on Communications, Seoul. https://doi.org/10.1109/ICC45855.2022.9839001
