An Investigation into Counter Drones Digital Forensics Aided by Remote Identification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62228-1_7
Reference26 articles.
1. Alotaibi, F. M., Al-Dhaqm, A., & Al-Otaibi, Y. D. (2022). A Novel Forensic Readiness Framework Applicable to the Drone Forensics Field. Computational Intelligence and Neuroscience, 2022,. https://doi.org/10.1155/2022/8002963
2. Alotaibi, F. M., Al-Dhaqm, A., Al-Otaibi, Y. D., & Alsewari, A. A. (2022). A Comprehensive Collection and Analysis Model for the Drone Forensics Field. Sensors, 22(17). https://doi.org/10.3390/s22176486
3. Azhar, H. (2019). Challenges and Techniques in Drone Forensics. https://www.dedrone.com/resources/incidents/all
4. Bai, Y., Lu, L., Cheng, J., Liu, J., Chen, Y., & Yu, J. (2020). Acoustic-Based Sensing and Applications: A survey. Computer Networks, 181, 107447. https://doi.org/10.1016/j.comnet.2020.107447
5. Belwafi, K., Alkadi, R., Alameri, S. A., Hamadi, H. Al, & Shoufan, A. (2022). Unmanned Aerial Vehicles’ Remote Identification: A Tutorial and Survey. In IEEE Access (Vol. 10, pp. 87577–87601). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2022.3199909
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