0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessIntegrating unmanned aerial vehicles (UAVs) into future wireless systems such as the fifth-generation cellular network is anticipated to bring significant benefits for both the UAV and telecommunication industries. Generally speaking, UAVs can be used as new aerial platforms in the cellular network to provide communication services for terrestrial users, or become new aerial users of the cellular network served by the terrestrial base stations. Due to their high altitude, UAVs usually have dominant line-ofsight channels with the ground nodes, which, however, pose new security challenges to future wireless networks with widely deployed UAVs. On one hand, UAV-ground communications are more prone than terrestrial communications to eavesdropping and jamming attacks by malicious nodes on the ground. On the other hand, compared to malicious ground nodes, malicious UAVs can launch more effective eavesdropping and jamming attacks to terrestrial communications. Motivated by the above, in this article, we aim to identify such new issues from a physical-layer security viewpoint and present novel solutions to tackle them efficiently. Numerical results are provided to validate their effectiveness, and promising directions for future research are also discussed.
Qingqing Wu, Weidong Mei, Rui Zhang (2019). Safeguarding Wireless Network with UAVs: A Physical Layer Security Perspective. IEEE Wireless Communications, 26(5), pp. 12-18, DOI: 10.1109/mwc.001.1900050.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2019
Authors
3
Datasets
0
Total Files
0
Language
English
Journal
IEEE Wireless Communications
DOI
10.1109/mwc.001.1900050
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access