System model.
<div><p>For vehicular ad hoc networks (VANET) to achieve intelligent transportation applications, efficient and secure data querying is essential. However, sophisticated multidimensional data processing, easy user privacy leaks, and low computational efficiency in resource-constrained co...
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2025
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| _version_ | 1852014453036417024 |
|---|---|
| author | Xiangmei Zhao (4374151) |
| author2 | Guofang Dong (22693774) |
| author2_role | author |
| author_facet | Xiangmei Zhao (4374151) Guofang Dong (22693774) |
| author_role | author |
| dc.creator.none.fl_str_mv | Xiangmei Zhao (4374151) Guofang Dong (22693774) |
| dc.date.none.fl_str_mv | 2025-11-26T18:42:19Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0335953.g001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/System_model_/30726826 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified provide safe aggregation performance simulation evaluation paillier homomorphic encryption lower system risk allows vehicle users specified security requirements ensure source dependability multifaceted data vectors enhance data quality efda system lowers vanet environments encounters low computational efficiency secure data querying efda scheme meets data querying source reliability security analysis reference scheme valid data original data data confidentiality xlink "> user feedback query efficiency paper proposes lightweight masks effectively integrated ecdsa signature dichotomous recursion computation overhead communication overhead |
| dc.title.none.fl_str_mv | System model. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <div><p>For vehicular ad hoc networks (VANET) to achieve intelligent transportation applications, efficient and secure data querying is essential. However, sophisticated multidimensional data processing, easy user privacy leaks, and low computational efficiency in resource-constrained contexts are some of the main issues that data querying in VANET environments encounters. To address these issues, this paper proposes an efficient fine-grained data query system (EFDA) based on lightweight masks that allows vehicle users to safely and in real-time query multidimensional traffic data. First, multifaceted data vectors are effectively integrated into a single cipher processing unit using a multidimensional CRT transformation method that counts the number of valid data. Paillier homomorphic encryption and the lightweight region feature masking technique are used to provide safe aggregation while preserving the privacy of the original data. Second, the ECDSA signature is used to ensure source dependability and data integrity. Lastly, to lower system risk and enhance data quality, an effective malicious node monitoring method based on dichotomous recursion and a reputation incentive mechanism based on user feedback is presented. According to security analysis, the EFDA scheme meets the threat model’s specified security requirements for data confidentiality, integrity, source reliability, and identity privacy. According to the performance simulation evaluation, the EFDA system lowers the computation overhead by 85.7% and 90.1% and the communication overhead by 69.1% and 39.2% when compared to the reference scheme. It achieves the balance between privacy protection and query efficiency and validates its viability and efficiency in the resource-constrained in-vehicle network environment.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_100708ee3d6dfdcd6847eddcb5da3fa3 |
| identifier_str_mv | 10.1371/journal.pone.0335953.g001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30726826 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | System model.Xiangmei Zhao (4374151)Guofang Dong (22693774)BiotechnologySpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedprovide safe aggregationperformance simulation evaluationpaillier homomorphic encryptionlower system riskallows vehicle usersspecified security requirementsensure source dependabilitymultifaceted data vectorsenhance data qualityefda system lowersvanet environments encounterslow computational efficiencysecure data queryingefda scheme meetsdata queryingsource reliabilitysecurity analysisreference schemevalid dataoriginal datadata confidentialityxlink ">user feedbackquery efficiencypaper proposeslightweight maskseffectively integratedecdsa signaturedichotomous recursioncomputation overheadcommunication overhead<div><p>For vehicular ad hoc networks (VANET) to achieve intelligent transportation applications, efficient and secure data querying is essential. However, sophisticated multidimensional data processing, easy user privacy leaks, and low computational efficiency in resource-constrained contexts are some of the main issues that data querying in VANET environments encounters. To address these issues, this paper proposes an efficient fine-grained data query system (EFDA) based on lightweight masks that allows vehicle users to safely and in real-time query multidimensional traffic data. First, multifaceted data vectors are effectively integrated into a single cipher processing unit using a multidimensional CRT transformation method that counts the number of valid data. Paillier homomorphic encryption and the lightweight region feature masking technique are used to provide safe aggregation while preserving the privacy of the original data. Second, the ECDSA signature is used to ensure source dependability and data integrity. Lastly, to lower system risk and enhance data quality, an effective malicious node monitoring method based on dichotomous recursion and a reputation incentive mechanism based on user feedback is presented. According to security analysis, the EFDA scheme meets the threat model’s specified security requirements for data confidentiality, integrity, source reliability, and identity privacy. According to the performance simulation evaluation, the EFDA system lowers the computation overhead by 85.7% and 90.1% and the communication overhead by 69.1% and 39.2% when compared to the reference scheme. It achieves the balance between privacy protection and query efficiency and validates its viability and efficiency in the resource-constrained in-vehicle network environment.</p></div>2025-11-26T18:42:19ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0335953.g001https://figshare.com/articles/figure/System_model_/30726826CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307268262025-11-26T18:42:19Z |
| spellingShingle | System model. Xiangmei Zhao (4374151) Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified provide safe aggregation performance simulation evaluation paillier homomorphic encryption lower system risk allows vehicle users specified security requirements ensure source dependability multifaceted data vectors enhance data quality efda system lowers vanet environments encounters low computational efficiency secure data querying efda scheme meets data querying source reliability security analysis reference scheme valid data original data data confidentiality xlink "> user feedback query efficiency paper proposes lightweight masks effectively integrated ecdsa signature dichotomous recursion computation overhead communication overhead |
| status_str | publishedVersion |
| title | System model. |
| title_full | System model. |
| title_fullStr | System model. |
| title_full_unstemmed | System model. |
| title_short | System model. |
| title_sort | System model. |
| topic | Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified provide safe aggregation performance simulation evaluation paillier homomorphic encryption lower system risk allows vehicle users specified security requirements ensure source dependability multifaceted data vectors enhance data quality efda system lowers vanet environments encounters low computational efficiency secure data querying efda scheme meets data querying source reliability security analysis reference scheme valid data original data data confidentiality xlink "> user feedback query efficiency paper proposes lightweight masks effectively integrated ecdsa signature dichotomous recursion computation overhead communication overhead |