Generative AI Based Secure Wireless Sensing for ISAC Networks
Nanyang Technological University · University of Hong Kong · +5 more institutions
Abstract
Integrated sensing and communications (ISAC) is one of the crucial technologies for 6G, and channel state information (CSI) based sensing serves as an essential part of ISAC. However, current research on ISAC focuses mainly on improving sensing performance, overlooking security issues, particularly the unauthorized sensing of users. Hence, this paper proposes a diffusion model based secure sensing system (DFSS). Specifically, we first propose a discrete conditional diffusion model to generate graphs with nodes and edges, which guides the ISAC system to appropriately activate wireless links and nodes, ensuring the sensing performance while minimizing the operation cost. Using the activated links and nodes, DFSS…
Citation impact
- FWCI
- 165.27
- Percentile
- 100%
- References
- 50
Authors
8Topics & keywords
- Computer science
- Wireless
- Wireless network
- Computer network
- Generative grammar
- Computer security
- Artificial intelligence
- Telecommunications
- Affordable and clean energy