In this Letter, we propose a secure orthogonal frequency division multiplexing (OFDM) transmission scheme based on chaotic encryption and noise-masking key distribution. With the implementation of a three-dimensional digital chaotic system, the security performance is effectively enhanced by scrambling the phase, symbol, and subcarrier frequency of the OFDM signal. The proposed noise-masking key distribution can mask the key information of the chaotic system into noise and transmit it with the chaotic encrypted signal simultaneously. By this mechanism, the legal receiver can realize uninterrupted authentication and decryption even if the key is constantly updated. Transmission of a 62.2-Gb/s quadrature phase shift keying (QPSK) and 124.4-Gb/s 16 quadrature amplitude modulation (16QAM) OFDM signal over a 2-km 7-core fiber using the proposed scheme is experimentally demonstrated. The results show that the proposed scheme can realize security enhancement and cost-effective key distribution without significant bit error ratio (BER) performance degradation.

Download full-text PDF

Source
http://dx.doi.org/10.1364/OL.460052DOI Listing

Publication Analysis

Top Keywords

key distribution
16
noise-masking key
12
ofdm transmission
8
transmission scheme
8
scheme based
8
based chaotic
8
chaotic encryption
8
encryption noise-masking
8
chaotic system
8
ofdm signal
8

Similar Publications

The Anoplophora chinensis (Coleoptera: Cerambycidae) (Forster), a serious phytophagous pest threatening Castanea mollissima Blume and Castanea seguinii Dode, poses risks of ecological imbalance, significant economic loss, and increased management difficulties if not properly controlled. This study employs optimized MaxEnt models to analyze the potential distribution areas of A. chinensis and its host plants under current and future climate conditions, identifying their movement pathways and relative dynamics.

View Article and Find Full Text PDF

Background: Peritoneal metastasis (PM) after the rupture of hepatocellular carcinoma (HCC) is a critical issue that negatively affects patient prognosis. Machine learning models have shown great potential in predicting clinical outcomes; however, the optimal model for this specific problem remains unclear.

Methods: Clinical data were collected and analyzed from 522 patients with ruptured HCC who underwent surgery at 7 different medical centers.

View Article and Find Full Text PDF

Exploring drought dynamics has become urgent due to unprecedented climate change. Projections indicate that drought events will become increasingly widespread globally, posing a significant threat to the sustainability of the agricultural sector. This growing challenge has resulted in heightened interest in understanding drought dynamics and their impacts on agriculture.

View Article and Find Full Text PDF

An Over 30-Year Analysis of Heavy Metal Deposition in Daya Bay Sediments.

Bull Environ Contam Toxicol

January 2025

College of Marine Science, South China Agricultural University, Guangzhou, 510642, China.

Sediment cores were collected from the nearshore to bay mouth region in Daya Bay, aiming to describe the historical patterns of heavy metals deposition in the sediment. During the last 40 years, the heavy metals exhibited significant different deposition behaviors in the sediment, in which As, Zn, Cr were more enriched and contributed to metals pollution in this area. Moreover, heavy metals deposition exhibited completely opposite behaviors from the nearshore to bay mouth region.

View Article and Find Full Text PDF

Gastric cancer (GC), a prevalent malignancy worldwide, encompasses a multitude of biological processes in its progression. Recently, ferroptosis, a novel mode of cell demise, has become a focal point in cancer research. The microenvironment of gastric cancer is composed of diverse cell populations, yet the specific gene expression profiles and their association with ferroptosis are not well understood.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!