Gao, K.; Horng, J.-H.; Chang, C.-C.; Chang, C.-C. Linguistic Secret Sharing via Ambiguous Token Selection for IoT Security. Preprints2024, 2024100078. https://doi.org/10.20944/preprints202410.0078.v1
APA Style
Gao, K., Horng, J. H., Chang, C. C., & Chang, C. C. (2024). Linguistic Secret Sharing via Ambiguous Token Selection for IoT Security. Preprints. https://doi.org/10.20944/preprints202410.0078.v1
Chicago/Turabian Style
Gao, K., Ching-Chun Chang and Chin-Chen Chang. 2024 "Linguistic Secret Sharing via Ambiguous Token Selection for IoT Security" Preprints. https://doi.org/10.20944/preprints202410.0078.v1
Abstract
The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, including weak authentication, insufficient data protection, and firmware vulnerabilities. To address these issues, we propose a linguistic secret sharing scheme tailored for IoT applications. This scheme leverages neural networks to embed private data within texts transmitted by IoT devices, using an ambiguous token selection algorithm that maintains the textual integrity of the cover messages. Our approach eliminates the need to share additional information for accurate data extraction, while also enhancing security through a secret sharing mechanism. Experimental results indicate that the generated steganographic text effectively preserves the sentiment and semantic information of the cover text.
Keywords
Ambiguous token selection; Galois field; linguistic secret sharing; language modeling
Subject
Computer Science and Mathematics, Security Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
