ACPP: An Effective Privacy Preserving Scheme for Precise Location Sharing in Internet of Vehicles
文献类型：会议论文
| 作者 | Xinling Zhou; Lei Peng; Huiyun Li; Mingsong Chen |
| 出版日期 | 2017 |
| 会议地点 | 澳门 |
| 英文摘要 | Abstract - Location-aware privacy protection is a key issue in mobile applications. And the issue is more concerned in Internet of Vehicles (IoV) because of the needs for more accurate location information. Conventional location hiding methods are not suitable to be used in IoV scenario, since they blur the location information fuzzily. In this paper, the dynamic pseudonym method is used to break the link between vehicle’s identity and real-time location, which can improve the privacy security without loss of location precision. In order to overcome the weakness of constant period of changing pseudonym, a scheme of adaptive changing of periodical pseudonym (ACPP) is proposed. This scheme models the privacy leak during one pseudonym period as gamma distribution, considering the information sending counts and intervals. Then the privacy leak model is convoluted with the original constant pseudonym period, which can indicate the appropriate time when changing the pseudonym based on the realtime location-aware communication. Finally, ACPP is simulated in Vissim. And the result demonstrates the correctness and effectiveness of the scheme. |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/11786]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2017 |
| 推荐引用方式 GB/T 7714 | Xinling Zhou,Lei Peng,Huiyun Li,et al. ACPP: An Effective Privacy Preserving Scheme for Precise Location Sharing in Internet of Vehicles[C]. 见:. 澳门. |
入库方式： OAI收割
来源：深圳先进技术研究院
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