A novel chaos-based physical layer security transmission scheme for internet of things

Jingwei Liu, Ailian Ren, Rong Sun, Xiaojiang Du, Mohsen Guizani

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations

Abstract

The Internet of Things (IoT) has attracted much attention in many fields, such as healthcare, transportation, finance and other critical infrastructures. But how to ensure the security of whole IoT system and the privacy of users has always been a challenge. Physical layer as the cornerstone of IoT, appears to be a promising direction for enhancing the security of IoT. As a consequence, we propose a novel chaotic physical layer security transmission scheme in the OFDM-based IoT transmission system. By encrypting the Discrete Fourier Transform (DFT) matrix, the proposed scheme not only provides the confidentiality of physical layer information transmission, but also effectively addresses the issues on the extreme high PAPR of the OFDM symbols. Moreover, it does not require any additional sideband information and has low computational complexity in theory. Compared with other existing schemes, the proposed scheme achieves the higher confidentiality of information transmission with the capability to resist chosen-plaintext attacks, statistical-attacks, and brute-force attacks simultaneously.

Original languageEnglish
Article number9013489
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2019
Event2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

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