First Glimpse on Physical Layer Security in Internet of Vehicles: Transformed from Communication Interference to Sensing Interference Article Swipe
Kaixuan Li
,
Kan Yu
,
Xiaowu Liu
,
Qixun Zhang
,
Zhiyong Feng
,
Dong Li
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.13634
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2502.13634
Integrated sensing and communication (ISAC) plays a crucial role in the Internet of Vehicles (IoV), serving as a key factor in enhancing driving safety and traffic efficiency. To address the security challenges of the confidential information transmission caused by the inherent openness nature of wireless medium, different from current physical layer security (PLS) methods, which depends on the \emph{additional communication interference} costing extra power resources, in this paper, we investigate a novel PLS solution, under which the \emph{inherent radar sensing interference} of the vehicles is utilized to secure wireless communications. To measure the performance of PLS methods in ISAC-based IoV systems, we first define an improved security performance metric called by transmission reliability and sensing accuracy based secrecy rate (TRSA\_SR), and derive closed-form expressions of connection outage probability (COP), secrecy outage probability (SOP), success ranging probability (SRP) for evaluating transmission reliability, security and sensing accuracy, respectively. Furthermore, we formulate an optimization problem to maximize the TRSA\_SR by utilizing radar sensing interference and joint design of the communication duration, transmission power and straight trajectory of the legitimate transmitter. Finally, the non-convex feature of formulated problem is solved through the problem decomposition and alternating optimization. Simulations indicate that compared with traditional PLS methods obtaining a non-positive STC, the proposed method achieves a secrecy rate of 3.92bps/Hz for different settings of noise power.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2502.13634
- https://arxiv.org/pdf/2502.13634
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4407764901
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4407764901Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2502.13634Digital Object Identifier
- Title
-
First Glimpse on Physical Layer Security in Internet of Vehicles: Transformed from Communication Interference to Sensing InterferenceWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-02-19Full publication date if available
- Authors
-
Kaixuan Li, Kan Yu, Xiaowu Liu, Qixun Zhang, Zhiyong Feng, Dong LiList of authors in order
- Landing page
-
https://arxiv.org/abs/2502.13634Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2502.13634Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2502.13634Direct OA link when available
- Concepts
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Interference (communication), Physical layer, The Internet, Layer (electronics), Computer network, Computer science, Computer security, Telecommunications, Business, Nanotechnology, Materials science, Wireless, World Wide Web, Channel (broadcasting)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.settings | 216 |
| abstract_inverted_index.straight | 171 |
| abstract_inverted_index.systems, | 100 |
| abstract_inverted_index.utilized | 85 |
| abstract_inverted_index.vehicles | 83 |
| abstract_inverted_index.wireless | 44, 88 |
| abstract_inverted_index.accuracy, | 144 |
| abstract_inverted_index.different | 46, 215 |
| abstract_inverted_index.duration, | 167 |
| abstract_inverted_index.enhancing | 21 |
| abstract_inverted_index.formulate | 148 |
| abstract_inverted_index.obtaining | 201 |
| abstract_inverted_index.solution, | 73 |
| abstract_inverted_index.utilizing | 157 |
| abstract_inverted_index.3.92bps/Hz | 213 |
| abstract_inverted_index.ISAC-based | 98 |
| abstract_inverted_index.Integrated | 0 |
| abstract_inverted_index.challenges | 31 |
| abstract_inverted_index.connection | 125 |
| abstract_inverted_index.evaluating | 138 |
| abstract_inverted_index.formulated | 182 |
| abstract_inverted_index.legitimate | 175 |
| abstract_inverted_index.non-convex | 179 |
| abstract_inverted_index.resources, | 64 |
| abstract_inverted_index.trajectory | 172 |
| abstract_inverted_index.(TRSA\_SR), | 119 |
| abstract_inverted_index.Simulations | 193 |
| abstract_inverted_index.alternating | 191 |
| abstract_inverted_index.closed-form | 122 |
| abstract_inverted_index.efficiency. | 26 |
| abstract_inverted_index.expressions | 123 |
| abstract_inverted_index.information | 35 |
| abstract_inverted_index.investigate | 69 |
| abstract_inverted_index.performance | 93, 107 |
| abstract_inverted_index.probability | 127, 131, 135 |
| abstract_inverted_index.reliability | 112 |
| abstract_inverted_index.traditional | 198 |
| abstract_inverted_index.Furthermore, | 146 |
| abstract_inverted_index.confidential | 34 |
| abstract_inverted_index.interference | 160 |
| abstract_inverted_index.non-positive | 203 |
| abstract_inverted_index.optimization | 150 |
| abstract_inverted_index.reliability, | 140 |
| abstract_inverted_index.transmission | 36, 111, 139, 168 |
| abstract_inverted_index.transmitter. | 176 |
| abstract_inverted_index.communication | 3, 59, 166 |
| abstract_inverted_index.decomposition | 189 |
| abstract_inverted_index.interference} | 60, 80 |
| abstract_inverted_index.optimization. | 192 |
| abstract_inverted_index.respectively. | 145 |
| abstract_inverted_index.\emph{inherent | 77 |
| abstract_inverted_index.communications. | 89 |
| abstract_inverted_index.\emph{additional | 58 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |