TY  - GEN
T1  - Generative Foundation Model-aided Secure Satellite Terrestrial Communication
AU  - Yang, Ziyi
AU  - Liu, Zhen
AU  - Lu, Yaojun
AU  - Zhang, Rui
AU  - Wang, Shuai
AU  - Pan, Gaofeng
AU  - An, Jianping
N1  - Publisher Copyright:
© 2012 IEEE.
PY  - 2025
Y1  - 2025
N2  - Secure Satellite Terrestrial Communication (SSTC) systems are of critical importance across a range of sectors, including military, scientific, and commercial domains, especially in consumer electronics. As emergent threats become increasingly sophisticated, ensuring the security, reliability, and effectiveness of SSTC in consumer electronic scenarios has become paramount. However, traditional communication solutions are no longer adequate to address the evolving challenges of SSTC systems. To address these limitations, this paper proposes a novel SSTC system based on Generative Foundation Models (GFMs) to enhance security, reliability, and effectiveness. A fundamental aspect of this approach entails the proposal of a GFM structure to optimize signal design. Notably, the Knowledge Distillation (KD) technique has been incorporated to mitigate complexity. A range of critical performance parameters is taken into consideration for GFM, including the bit error rate and secrecy outage probability. The findings illustrate that the proposed GFM enhances the security and reliability of information transmission in SSTC systems. Finally, the paper engages with the challenges and potential future directions for the application of GFM to SSTC systems for future consumer electronic scenarios.
AB  - Secure Satellite Terrestrial Communication (SSTC) systems are of critical importance across a range of sectors, including military, scientific, and commercial domains, especially in consumer electronics. As emergent threats become increasingly sophisticated, ensuring the security, reliability, and effectiveness of SSTC in consumer electronic scenarios has become paramount. However, traditional communication solutions are no longer adequate to address the evolving challenges of SSTC systems. To address these limitations, this paper proposes a novel SSTC system based on Generative Foundation Models (GFMs) to enhance security, reliability, and effectiveness. A fundamental aspect of this approach entails the proposal of a GFM structure to optimize signal design. Notably, the Knowledge Distillation (KD) technique has been incorporated to mitigate complexity. A range of critical performance parameters is taken into consideration for GFM, including the bit error rate and secrecy outage probability. The findings illustrate that the proposed GFM enhances the security and reliability of information transmission in SSTC systems. Finally, the paper engages with the challenges and potential future directions for the application of GFM to SSTC systems for future consumer electronic scenarios.
UR  - http://www.scopus.com/pages/publications/105013881101
U2  - 10.1109/MCE.2025.3599657
DO  - 10.1109/MCE.2025.3599657
M3  - Article
AN  - SCOPUS:105013881101
SN  - 2162-2248
JO  - IEEE Consumer Electronics Magazine
JF  - IEEE Consumer Electronics Magazine
ER  -