Physical layer authentication under intelligent spoofing in wireless sensor networks

Gao, Ning; Ni, Qiang; Feng, Daquan; Jing, Xiaojun; Cao, Yue

doi:10.1016/j.sigpro.2019.107272

Cited by 28 publications

(11 citation statements)

References 40 publications

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“…Sensors, Networks, Hackers and Future Urban Life and Analysis and Application of Financial Statements. rough the collection and summary of this series of data, literature research provides a favorable theoretical basis for the research ideas and methods [28,29]. Comparative analysis: comparative analysis method refers to the multiparty comparison of two or more research objects to explore the similarities and differences between them.…”

Section: Key Methods and Algorithms Used In The Researchmentioning

confidence: 99%

Optimization of Accounting Information System for Enterprises in Smart City by Intelligent Sensor under the Internet of Things

2022

Wireless Communications and Mobile Computing

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In order to realize the continuous optimization of the enterprise financial accounting information system of the smart city, from the perspective of intelligent sensor technology, firstly, this paper understands the use feelings of the enterprise financial accounting-related personnel about the information system in the smart city based on the relevant theories of intelligent sensor, smart city, and accounting information. Secondly, the Internet of things technology and intelligent sensing technology are applied to the optimization of enterprise financial accounting information system. Finally, the corresponding opinions and suggestions are put forward from the perspectives of government, employees, and enterprises. The results show that about 40%∼60% of enterprise financial accountants believe that data integration and sharing, data governance, and data operation management systems need to be continuously optimized and upgraded. Applying the Internet of things technology and intelligent sensing technology to the optimization of enterprise financial accounting information system, it is found that it can not only improve the accuracy of financial data processing, but also receive the required results efficiently and in real time. It is more important to apply intelligent sensing technology to enterprise financial information system. After comparison, it is found that the net profit of the enterprise increased from 112.69 million yuan to 3329.33 million yuan. The owner’s equity of the enterprise increased from 2045.68 million yuan to 11177.34 million yuan. The cash flow of the enterprise increased from 1056.91 million yuan to 6892.56 million yuan. Therefore, this paper studies how to optimize the enterprise financial accounting information system based on the intelligent sensor of the Internet of things in the smart city, which has great reference significance for the management of enterprise financial operation.

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Section: Key Methods and Algorithms Used In The Researchmentioning

confidence: 99%

Optimization of Accounting Information System for Enterprises in Smart City by Intelligent Sensor under the Internet of Things

2022

Wireless Communications and Mobile Computing

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“…The message bits B i of device i are encoded as a unit-power codeword, x d i , with block-length L d i = L−2L q . For the fairness and the superposition coding with successive interference cancellation (SIC) in downlink NOMA, we assume that the transmit powers at the BS are sorted as p v p u based on the uplink estimated channel gain 3)…”

Section: Downlink Data Transmission Phasementioning

confidence: 99%

“…Machine-type communication (mMTC) has been considered a representative service category in 5G networks [1][2][3] because of its wide applications of the Internet of Things (IoT) such as smart city, smart health care, factory automation, autonomous driving, etc [1,4]. Notably, the number of IoT devices is growing exponentially and will reach hundreds of billions in 2030 [5].…”

Section: Introductionmentioning

confidence: 99%

Active device detection and performance analysis of massive non-orthogonal transmissions in cellular Internet of Things

Cai

Fan

Zou

et al. 2022

Sci. China Inf. Sci.

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This paper investigates multiple access schemes for uplink and downlink transmissions in cellular networks with massive Internet of Things (IoT) devices. Recall that single-carrier frequency division multiple access and orthogonal frequency division multiple access, which are orthogonal multiple access (OMA) schemes, have been conventionally adopted for uplink and downlink transmissions in narrow-band IoT, respectively. Unlike these OMA schemes, we propose two non-orthogonal multiple access (NOMA) schemes for cellular IoT with short-packet transmissions. Especially, a generalized expectation consistent signal recovery based algorithm is proposed to estimate active devices, channel state information and data in uplink transmission, where all of active devices are allowed to transmit their pilots and data through the same resource block without authorization. On the other hand, the active devices estimated during uplink transmission are grouped for downlink transmission with a trade-off between performance and detection complexity. Additionally, the data error rates are analysed for both uplink and downlink transmissions with low-resolution analog-to-digital converters (ADCs), where the effects of critical parameters such as the estimation error, ADC bits, packet length and message bits are revealed. Both simulation and analytical results are provided to demonstrate the excellent performance of the proposed NOMA schemes and algorithms, especially for active device, channel and data estimations. More importantly, the obtained results show that the data error rate performance of downlink NOMA is superior to that of OMA when the message bits of devices in one group are selected following the proposed strategy.

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“…In this context, the pioneering idea of physical layer authentication (PLA) was introduced in [19]. These results were extended in different topologies, including, vehicular ad hoc networks (VANETs) [20], ultra-reliable low-latency communications (URLLC) [21], and wireless sensor communications [22]. Recently, in [23], the authors design PLA protocols based on machine learning techniques.…”

Section: Referencementioning

confidence: 99%

Survey on physical layer security for 5G wireless networks

et al. 2020

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Physical layer security is a promising approach that can benefit traditional encryption methods. The idea of physical layer security is to take advantage of the propagation medium's features and impairments to ensure secure communication in the physical layer. This work introduces a comprehensive review of the main information-theoretic metrics used to measure the secrecy performance in physical layer security. Furthermore, a theoretical framework related to the most commonly used physical layer security techniques to improve secrecy performance is provided. Finally, our work surveys physical layer security research over several enabling 5G technologies, such as massive multiple-input multiple-output, millimeter-wave communications, heterogeneous networks, non-orthogonal

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Physical layer authentication under intelligent spoofing in wireless sensor networks

Cited by 28 publications

References 40 publications

Optimization of Accounting Information System for Enterprises in Smart City by Intelligent Sensor under the Internet of Things

Optimization of Accounting Information System for Enterprises in Smart City by Intelligent Sensor under the Internet of Things

Active device detection and performance analysis of massive non-orthogonal transmissions in cellular Internet of Things

Survey on physical layer security for 5G wireless networks

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