VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks
With the rapid development of mobile devices, aggregation security and efficiency topics are more important than past in crowd sensing. When collecting large-scale vehicle-provided data, the data transmitted via autonomous networks are publicly accessible to all attackers, which increases the risk o...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2023-12-01
|
| Series: | Big Data Mining and Analytics |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2022.9020041 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832557721839206400 |
|---|---|
| author | Juli Yin Linfeng Wei Zhiquan Liu Xi Yang Hongliang Sun Yudan Cheng Jianbin Mai |
| author_facet | Juli Yin Linfeng Wei Zhiquan Liu Xi Yang Hongliang Sun Yudan Cheng Jianbin Mai |
| author_sort | Juli Yin |
| collection | DOAJ |
| description | With the rapid development of mobile devices, aggregation security and efficiency topics are more important than past in crowd sensing. When collecting large-scale vehicle-provided data, the data transmitted via autonomous networks are publicly accessible to all attackers, which increases the risk of vehicle exposure. So we need to ensure data aggregation security. In addition, low aggregation efficiency will lead to insufficient sensing data, making the data unable to provide data mining services. Aiming at the problem of aggregation security and efficiency in large-scale data collection, this article proposes a data collection mechanism (VDCM) for crowd sensing in vehicular ad hoc networks (VANETs). The mechanism includes two mechanism assumptions and selects appropriate methods to reduce consumption. It selects sub mechanism 1 when there exist very few vehicles or the coalition cannot be formed, otherwise selects sub mechanism 2. Single aggregation is used to collect data in sub mechanism 1. In sub mechanism 2, cooperative vehicles are selected by using coalition formation strategy and auction cooperation agreement, and multi aggregation is used to collect data. Two sub mechanisms use Paillier homomorphic encryption technology to ensure the security of data aggregation. In addition, mechanism supplements the data update and scoring steps to increase the amount of available data. The performance analysis shows that the mechanism proposed in this paper can safely aggregate data and reduce consumption. The simulation results indicate that the proposed mechanism reduces time consumption and increases the amount of available data compared with existing mechanisms. |
| format | Article |
| id | doaj-art-b522007bc50d401aa40d61b47327440d |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-b522007bc50d401aa40d61b47327440d2025-02-03T02:57:52ZengTsinghua University PressBig Data Mining and Analytics2096-06542023-12-016439140310.26599/BDMA.2022.9020041VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc NetworksJuli Yin0Linfeng Wei1Zhiquan Liu2Xi Yang3Hongliang Sun4Yudan Cheng5Jianbin Mai6College of Cyber Security, Jinan University, Guangzhou 510632, ChinaCollege of Cyber Security, Jinan University, Guangzhou 510632, ChinaCollege of Cyber Security, Jinan University, Guangzhou 510632, ChinaCollege of Information Science Technology, Jinan University, Guangzhou 510632, ChinaCollege of Cyber Security, Jinan University, Guangzhou 510632, ChinaCollege of Cyber Security, Jinan University, Guangzhou 510632, ChinaCollege of Cyber Security, Jinan University, Guangzhou 510632, ChinaWith the rapid development of mobile devices, aggregation security and efficiency topics are more important than past in crowd sensing. When collecting large-scale vehicle-provided data, the data transmitted via autonomous networks are publicly accessible to all attackers, which increases the risk of vehicle exposure. So we need to ensure data aggregation security. In addition, low aggregation efficiency will lead to insufficient sensing data, making the data unable to provide data mining services. Aiming at the problem of aggregation security and efficiency in large-scale data collection, this article proposes a data collection mechanism (VDCM) for crowd sensing in vehicular ad hoc networks (VANETs). The mechanism includes two mechanism assumptions and selects appropriate methods to reduce consumption. It selects sub mechanism 1 when there exist very few vehicles or the coalition cannot be formed, otherwise selects sub mechanism 2. Single aggregation is used to collect data in sub mechanism 1. In sub mechanism 2, cooperative vehicles are selected by using coalition formation strategy and auction cooperation agreement, and multi aggregation is used to collect data. Two sub mechanisms use Paillier homomorphic encryption technology to ensure the security of data aggregation. In addition, mechanism supplements the data update and scoring steps to increase the amount of available data. The performance analysis shows that the mechanism proposed in this paper can safely aggregate data and reduce consumption. The simulation results indicate that the proposed mechanism reduces time consumption and increases the amount of available data compared with existing mechanisms.https://www.sciopen.com/article/10.26599/BDMA.2022.9020041vehicular ad hoc networks (vanets)crowd sensingdata collectiondata aggregation security |
| spellingShingle | Juli Yin Linfeng Wei Zhiquan Liu Xi Yang Hongliang Sun Yudan Cheng Jianbin Mai VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks Big Data Mining and Analytics vehicular ad hoc networks (vanets) crowd sensing data collection data aggregation security |
| title | VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks |
| title_full | VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks |
| title_fullStr | VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks |
| title_full_unstemmed | VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks |
| title_short | VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks |
| title_sort | vdcm a data collection mechanism for crowd sensing in vehicular ad hoc networks |
| topic | vehicular ad hoc networks (vanets) crowd sensing data collection data aggregation security |
| url | https://www.sciopen.com/article/10.26599/BDMA.2022.9020041 |
| work_keys_str_mv | AT juliyin vdcmadatacollectionmechanismforcrowdsensinginvehicularadhocnetworks AT linfengwei vdcmadatacollectionmechanismforcrowdsensinginvehicularadhocnetworks AT zhiquanliu vdcmadatacollectionmechanismforcrowdsensinginvehicularadhocnetworks AT xiyang vdcmadatacollectionmechanismforcrowdsensinginvehicularadhocnetworks AT hongliangsun vdcmadatacollectionmechanismforcrowdsensinginvehicularadhocnetworks AT yudancheng vdcmadatacollectionmechanismforcrowdsensinginvehicularadhocnetworks AT jianbinmai vdcmadatacollectionmechanismforcrowdsensinginvehicularadhocnetworks |