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Niya Luo

dblp:347/1907 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0003-1735-5238ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Internet of things and sensor networks · 58% Physical-layer communications · 42%
Network and information security
1 paper
Authentication and access control · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
backscatter communication
1.022025
BatchAuth: A Physical Layer Batch Authentication Scheme for Multiple Backscatter Devices · IEEE Trans. Inf. Forensics Secur. 2024
HABC: A Mutual and Handover Authentication Scheme for Backscatter Communications With High Robustness · IEEE Trans. Inf. Forensics Secur. 2025
Authentication and access control › network authentication
handover authentication
0.912025
HABC: A Mutual and Handover Authentication Scheme for Backscatter Communications With High Robustness · IEEE Trans. Inf. Forensics Secur. 2025
Authentication and access control
mutual authentication
0.912025
HABC: A Mutual and Handover Authentication Scheme for Backscatter Communications With High Robustness · IEEE Trans. Inf. Forensics Secur. 2025
Internet of things and sensor networks › iot security
batch authentication
0.812024
BatchAuth: A Physical Layer Batch Authentication Scheme for Multiple Backscatter Devices · IEEE Trans. Inf. Forensics Secur. 2024
Physical-layer communications › physical layer security
physical-layer authentication
0.812024
BatchAuth: A Physical Layer Batch Authentication Scheme for Multiple Backscatter Devices · IEEE Trans. Inf. Forensics Secur. 2024
Physical-layer communications
channel estimation
0.312025
HABC: A Mutual and Handover Authentication Scheme for Backscatter Communications With High Robustness · IEEE Trans. Inf. Forensics Secur. 2025
Physical-layer communications › channel modeling › channel characterization
channel impulse response
0.312025
HABC: A Mutual and Handover Authentication Scheme for Backscatter Communications With High Robustness · IEEE Trans. Inf. Forensics Secur. 2025

Methods — techniques the papers use, named apart from their topics

location prediction · 1.7channel impulse response · 0.8RSS · 0.8OFDMA · 0.8MIMO · 0.8
YearPublicationVenuePosition
2025 HABC: A Mutual and Handover Authentication Scheme for Backscatter Communications With High Robustness
abstract
Backscatter communication (BC) is a promising wireless communication technology due to its low cost, ultra-low power consumption, and ease of maintenance. However, the broadcasting and openness nature of BC by backscattering incident radio signals for message transformation introduces severe security threats, creating a bottleneck that hinders its further development. Mutual and handover authentication across multiple access points (APs) is essential to secure large-scale BC systems containing mobile backscatter devices (BDs). However, an effective scheme is still absent in the current literature. In this paper, we propose HABC, a mutual and handover authentication scheme designed to secure BC systems, which can resist various attacks. HABC leverages the physical layer feature channel impulse response (CIR) to authenticate BD. Using secret keys, the BD can verify the source of a received signal. When a BD transits from the coverage of a source AP to a target AP, HABC supports handover authentication through the control of a server based on BD location prediction to maintain continuous communications. Theoretical analysis and numerical experimental evaluation validate the satisfactory performance of HABC in terms of accuracy and robustness, as well as its superiority through comparison with cutting-edge related work.
Yishan Yang, Zheng Yan 0002, Niya Luo, Mianxiong Dong, Kaoru Ota
IEEE Trans. Inf. Forensics Secur.3
2024 BatchAuth: A Physical Layer Batch Authentication Scheme for Multiple Backscatter Devices
abstract
Backscatter communication (BC) offers a promising power-efficient communication paradigm for wireless devices with constrained energy resources. However, the innate openness and broadcast characteristics of BC raise considerable security concerns. To address this, physical layer authentication has emerged as a primary solution to enable secure BC. To facilitate efficient authentication on multiple backscatter devices (BDs), batch authentication becomes essential. Nevertheless, existing schemes have not yet bridged the research gap regarding effective batch authentication on mobile BDs with high scalability support. This paper proposes BatchAuth, a physical layer batch authentication scheme designed to authenticate multiple BDs simultaneously by leveraging orthogonal frequency-division multiple access (OFDMA) technology. BatchAuth utilizes two factors, received signal strength (RSS) and multiple channel impulse responses (CIRs), to authenticate a group of BDs and leverages a channel correlation coefficient to offset performance loss and support BD dynamicity. What’s more, a backscatter waveform design facilitates an access point (AP) in estimating the CIRs from backscattered signals. Additionally, BatchAuth possesses the capability to detect and trace potential attackers by analyzing the specific characteristics of orthogonal subcarriers to facilitate countermeasure. In particular, BatchAuth demonstrates significant potential on scalability in large-scale BC systems and multiple-input multiple-output (MIMO) systems. Theoretical analysis on BatchAuth security and extensive simulations under various settings by comparing with cutting-edge schemes further validate its commendable performance with regard to accuracy, robustness, efficiency, and scalability.
Yishan Yang, Niya Luo, Zheng Yan 0002, Yifan Zhang 0042, Kai Zeng 0001
IEEE Trans. Inf. Forensics Secur.3