Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV
Aiming at the weak flexibility and lack of users’ transparency existing in the current Mix-zone schemes for Internet of vehicle (IoV),a dynamic was proposed for Mix-zone construction with traffic adaption,which could construct a Mix-zone for the vehicles dynamically according to the traffic conditio...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2018-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018038/ |
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| author | Xia FENG Yawei LIU |
| author_facet | Xia FENG Yawei LIU |
| author_sort | Xia FENG |
| collection | DOAJ |
| description | Aiming at the weak flexibility and lack of users’ transparency existing in the current Mix-zone schemes for Internet of vehicle (IoV),a dynamic was proposed for Mix-zone construction with traffic adaption,which could construct a Mix-zone for the vehicles dynamically according to the traffic conditions for changing pseudonym at anytime and anywhere.This kind of Mix-zone could achieve privacy-preserving based on the identity and location.In addition,a novel traffic-adaptive metric was presented for classifying the privacy leveled in Mix-zone,which applied the normalization quantitation to measure the degree of Mix-zone’s privacy demanding by the current region.It was verified that the joint entropy-based privacy measuring model and the Mix-zone construction scheme by utilizing the trajectory data of taxis in certain district in Shenzhen city.The experimental shows that the proposed combination entropy-based model could depict the proportional relationship between the traffic scene parameters and the privacy-preserving degrees.The scheme is better in performance over the related methods,and strikes a good balance between location privacy and service usability. |
| format | Article |
| id | doaj-art-e572fc93aa214b70b4933dea25391193 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2018-03-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e572fc93aa214b70b4933dea253911932025-01-14T07:14:24ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2018-03-0139768559717007Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoVXia FENGYawei LIUAiming at the weak flexibility and lack of users’ transparency existing in the current Mix-zone schemes for Internet of vehicle (IoV),a dynamic was proposed for Mix-zone construction with traffic adaption,which could construct a Mix-zone for the vehicles dynamically according to the traffic conditions for changing pseudonym at anytime and anywhere.This kind of Mix-zone could achieve privacy-preserving based on the identity and location.In addition,a novel traffic-adaptive metric was presented for classifying the privacy leveled in Mix-zone,which applied the normalization quantitation to measure the degree of Mix-zone’s privacy demanding by the current region.It was verified that the joint entropy-based privacy measuring model and the Mix-zone construction scheme by utilizing the trajectory data of taxis in certain district in Shenzhen city.The experimental shows that the proposed combination entropy-based model could depict the proportional relationship between the traffic scene parameters and the privacy-preserving degrees.The scheme is better in performance over the related methods,and strikes a good balance between location privacy and service usability.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018038/Internet of vehicleMix-zonejoint-entropyprivacy-preserving |
| spellingShingle | Xia FENG Yawei LIU Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV Tongxin xuebao Internet of vehicle Mix-zone joint-entropy privacy-preserving |
| title | Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV |
| title_full | Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV |
| title_fullStr | Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV |
| title_full_unstemmed | Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV |
| title_short | Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV |
| title_sort | dynamic mix zone scheme with joint entropy based metric for privacy perserving in iov |
| topic | Internet of vehicle Mix-zone joint-entropy privacy-preserving |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018038/ |
| work_keys_str_mv | AT xiafeng dynamicmixzoneschemewithjointentropybasedmetricforprivacyperservinginiov AT yaweiliu dynamicmixzoneschemewithjointentropybasedmetricforprivacyperservinginiov |