2018 IEEE Vehicular Networking Conference (VNC)最新文献_第2页

A SUMO-Based Parking Management Framework for Large-Scale Smart Cities Simulations 大型智慧城市模拟中基于相扑的停车管理框架

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628417

Lara Codecà, J. Erdmann, Jérôme Härri

{"title":"A SUMO-Based Parking Management Framework for Large-Scale Smart Cities Simulations","authors":"Lara Codecà, J. Erdmann, Jérôme Härri","doi":"10.1109/VNC.2018.8628417","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628417","url":null,"abstract":"We collectively decided that investing in smart cities, and consequently smart mobility, is the appropriate direction to solve traffic congestion and sustainable growth issues. Among the problems linked to traffic congestion, we find the complexity of efficient multi-modal commuting and the eventual search of a parking spot. Ideally, mobility should be a transparent service for the users and the quest to find parking should not exist in the first place. In order to achieve this goal, we need to study large-scale parking management optimizations. Recently we reached the computational power to simulate and optimize large-scale cities, but problems such as the complexity of the models, the availability of a reliable source of data, and flexible simulation frameworks are still a reality. We present the general-purpose Python Parking Monitoring Library (PyPML) and the mobility simulation framework. We discuss the implementation details, focusing on multi-modal mobility capabilities. We present multiple use-cases to showcase features and highlight why we need large-scale simulations. Finally, we evaluate PyPML performances, and we discuss its evolution.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123911646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Content Replication in Vehicular Micro Cloud-based Data Storage: A Mobility-Aware Approach 车载微云数据存储中的内容复制:一种移动感知方法

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628438

Takamasa Higuchi, Gurjashan Singh Pannu, F. Dressler, O. Altintas

{"title":"Content Replication in Vehicular Micro Cloud-based Data Storage: A Mobility-Aware Approach","authors":"Takamasa Higuchi, Gurjashan Singh Pannu, F. Dressler, O. Altintas","doi":"10.1109/VNC.2018.8628438","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628438","url":null,"abstract":"This paper presents an intelligent mechanism for a vehicular micro cloud (i.e., a cluster of connected vehicles) to form a regional distributed data storage over V2V networks. Each member vehicle keeps a subset of data contents in their local data storage device, and hands over the contents to other member(s) when leaving the vehicular micro cloud. In order to cope with potential data loss due to failure of content handovers, the vehicular micro cloud creates replica(s) of each data content, and keeps them at different member vehicles. However, even if the system creates multiple replicas, there still remains the risk of losing all of them at once, as vehicles hosting the replicas could move away from the vehicular micro cloud in a short period of time. Such simultaneous failures could frequently occur, since vehicles in the vicinity often have strong correlation in their mobility. To address this issue, our algorithm assigns data replicas to a small subset of member vehicles, whose future mobility is not expected to be strongly correlated with each other. Simulation results show that our mobility-aware replica assignment algorithm can significantly improve the reliability of data management without increasing the number of replicas in a vehicular micro cloud.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124644796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Poster: Measurement-based K-Factor Model for Vehicle-To-Vehicle Communication 海报:基于测量的车对车通信k因子模型

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628327

J. Fischer, R. Koch, G. Kilian

引用次数: 2

iRide: A Privacy-Preserving Architecture for Self-Driving Cabs Service iRide:自动驾驶出租车服务的隐私保护架构

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628378

Ala'a Al-Momani, F. Kargl, R. Schmidt, Christoph Bösch

{"title":"iRide: A Privacy-Preserving Architecture for Self-Driving Cabs Service","authors":"Ala'a Al-Momani, F. Kargl, R. Schmidt, Christoph Bösch","doi":"10.1109/VNC.2018.8628378","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628378","url":null,"abstract":"Despite the popularity Ride Hailing Services (RHSs) have gained recently, they pose significant privacy risks. In particular, a user wishing to benefit from a RHS is required to disclose her precise spatio-temporal data to the RHS provider. The provider is, thus, able to infer and harvest further sensitive information about the user, including, e.g., her social behavior. Previous work on protecting privacy in such a context assumes service provider to not collude with drivers. This assumption does not hold in the scenario of self-driving cabs, as driverless vehicles replace drivers and, thus, the service provider has to control and collude with her fleet. In this paper, we tackle the open issue of service provider colluding with her fleet by analyzing the scenario of self-driving cab services. We present iRide, a privacy-preserving architecture for self-driving cab service that relies on Intel SGX to provide strong privacy guarantees. iRide maintains the convenience of the functionality while offering strong privacy guarantees, that is, we do not introduce or rely on trade-offs between functionality and privacy. The introduced overhead in iRide design is relatively small and rather acceptable under practical aspects. To our best knowledge, this is the first work that tackles privacy protection in self-driving cab services.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124577875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Analysing communication requirements for crowd sourced backend generation of HD Maps used in automated driving 分析用于自动驾驶的众包高清地图后端生成的通信需求

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628335

Florian Jomrich, Josef Schmid, Steffen Knapp, A. Höß, R. Steinmetz, Björn Schuller

引用次数: 15

ATHENA: A Pagerank-based Scheme to Solve the Thundering Herd in Authentication 雅典娜:一种基于pagerank的方案来解决身份验证中的雷群问题

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628353

Chao Chen, Sang Woo Lee, T. Watson, C. Maple, Yi Lu

引用次数: 0

Nowhere to hide? Mix-Zones for Private Pseudonym Change using Chaff Vehicles 无处可藏?使用箔条车辆进行私人假名更改的混合区域

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628449

Christian Vaas, M. Khodaei, Panos Papadimitratos, I. Martinovic

{"title":"Nowhere to hide? Mix-Zones for Private Pseudonym Change using Chaff Vehicles","authors":"Christian Vaas, M. Khodaei, Panos Papadimitratos, I. Martinovic","doi":"10.1109/VNC.2018.8628449","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628449","url":null,"abstract":"In vehicular communication systems, cooperative awareness messages provide contextual information required for transportation safety and efficiency applications. However, without the appropriate design, these messages introduce a new attack vector to compromise passenger privacy. The use of ephemeral credentials – pseudonyms – was therefore proposed, essentially to split a journey into unlinkable segments. To protect segment transitions, encrypted mix-zones provide regions where vehicles can covertly change their pseudonyms. While previous work focused on the placement, shape, and protocols for mix-zones, attacks that correlate vehicles entering and existing these zones still remain a problem. Furthermore, existing schemes have only considered homogeneous traffic, disregarding variations in vehicle density due to differences in driver population, road layout, and time of day. Without realistic experimental results, any conclusion on real-world applicability is precarious. In this paper, we address this challenge and present a novel scheme that works independent of vehicles’ mobility patterns. More precisely, our system generates fictive chaff vehicles when needed and broadcasts their traces, while it remains unobtrusive if sufficiently many vehicles are present. This greatly improves privacy protection in situations with inherently low traffic density, e.g., suburban areas, and during low traffic periods. Our scheme ensure that an external attacker cannot distinguish between real and chaff vehicles, while legitimate vehicles can recognize chaff messages; this is important, because chaff vehicles (and messages) must not affect the operation of safety applications. In our evaluation, we compare our chaff-based approach with an existing cryptographic mix-zone scheme. Our results under realistic traffic conditions show that by introducing fictive vehicles, traffic flow variations can be smoothed and privacy protection can be enhanced up to 76%.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116632006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Poster: Location-based Directional CSMA/CA for Millimeter Wave V2V Communications 海报:毫米波V2V通信的基于位置的定向CSMA/CA

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628456

Seungeun Oh, Hyesung Kim, Seong-Lyun Kim

引用次数: 1

Guarding the Guards: Accountable Authorities in VANETs 守卫卫兵:在VANETs负责任的当局

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628329

Joakim Brorsson, Paul Stankovski Wagner, Martin Hell

引用次数: 4

Poster: Performance Evaluation of an Open-Source Audio-Video Bridging/Time-Sensitive Networking Testbed for Automotive Ethernet 海报:一个开源的汽车以太网音视频桥接/时间敏感网络测试平台的性能评估

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628414

Teng Andrea Xu, Florian Adamsky, Ion Turcanu, R. Soua, C. Köbel, T. Engel, A. Baiocchi

引用次数: 2