A Secure and Efficient Distributed Semantic Communication System for Heterogeneous Internet of Things
Uloženo v:
| Vydáno v: | arXiv.org (Dec 11, 2024), p. n/a |
|---|---|
| Hlavní autor: | |
| Další autoři: | , , , , , |
| Vydáno: |
Cornell University Library, arXiv.org
|
| Témata: | |
| On-line přístup: | Citation/Abstract Full text outside of ProQuest |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3083264515 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3083264515 | ||
| 045 | 0 | |b d20241211 | |
| 100 | 1 | |a Zeng, Weihao | |
| 245 | 1 | |a A Secure and Efficient Distributed Semantic Communication System for Heterogeneous Internet of Things | |
| 260 | |b Cornell University Library, arXiv.org |c Dec 11, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Semantic communications are expected to improve the transmission efficiency in Internet of Things (IoT) networks. However, the distributed nature of networks and heterogeneity of devices challenge the secure utilization of semantic communication systems. In this paper, we develop a distributed semantic communication system that achieves the security and efficiency during update and usage phases. A blockchain-based trust scheme for update is designed to continuously train and synchronize the system in dynamic IoT environments. To improve the updating efficiency, we propose a flexible semantic coding method base on compressive semantic knowledge bases. It greatly reduces the amount of data shared among devices for system update, and realizes the flexible adjustment of the size of knowledge bases and the number of transmitted signal symbols in model training and inference stages. In the usage phase, a signature mechanism for lossy semantics is introduced to guarantee the integrity and authenticity of the transmitted semantics in lossy semantic communications. We further design a noise-aware differential privacy mechanism, which introduces optimized noise based on the different channel information available to heterogeneous devices. Experiments on text transmission tasks show that the proposed system achieves the protection of the integrity and privacy for exchanged semantics, and reduces the data to be transmitted in the update phase by about \(35\%\) to \(88\%\), and in the usage phase by \(60\%\) compared with related works. | |
| 653 | |a Semantics | ||
| 653 | |a Wireless communications | ||
| 653 | |a Internet of Things | ||
| 653 | |a Data exchange | ||
| 653 | |a Knowledge bases (artificial intelligence) | ||
| 653 | |a Digital signatures | ||
| 653 | |a Privacy | ||
| 653 | |a Communications systems | ||
| 653 | |a Availability | ||
| 653 | |a Channel noise | ||
| 653 | |a Integrity | ||
| 653 | |a Cybersecurity | ||
| 700 | 1 | |a Xu, Xinyu | |
| 700 | 1 | |a Zhang, Qianyun | |
| 700 | 1 | |a Shi, Jiting | |
| 700 | 1 | |a Guan, Zhenyu | |
| 700 | 1 | |a Li, Shufeng | |
| 700 | 1 | |a Qin, Zhijin | |
| 773 | 0 | |t arXiv.org |g (Dec 11, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3083264515/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2407.14140 |