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Privacy Risks in Vehicle Grids and Autonomous Cars

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CarSys '17: Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services

Pages 19 - 23

https://doi.org/10.1145/3131944.3133938

Published: 20 October 2017 Publication History

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Abstract

Traditionally, the vehicle has been the extension of the manual ambulatory system, docile to the drivers' commands. Recent advances in communications, controls and embedded systems have changed this model, paving the way to the Intelligent Vehicle Grid. The car is now a formidable sensor platform, absorbing information from the environment, from other cars (and from the driver) and feeding it to other cars and infrastructure to assist in safe navigation, pollution control and traffic management. The next step in this evolution is just around the corner: the Internet of Autonomous Vehicles. Like other important instantiations of the Internet of Things (e.g., the smart building, etc), the Internet of Vehicles will not only upload data to the Internet with V2I. It will also use V2V communications, storage, intelligence, and learning capabilities to anticipate the customers' intentions and learn from other peers. V2I and V2V are essential to the autonomous vehicle, but carry the risk of attacks. This paper will address the privacy attacks to which vehicles are exposed when they upload private data to Internet Servers. It will also outline efficient methods to preserve privacy.

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Cited By

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Iyer RKalbarczyk ZNakka N(2024)Measurement‐Based Analysis of Large SystemsDependable Computing10.1002/9781119743453.ch13(667-743)Online publication date: 26-Apr-2024
https://doi.org/10.1002/9781119743453.ch13
Hasan RHasan R(2022)Pedestrian safety using the Internet of Things and sensors: Issues, challenges, and open problemsFuture Generation Computer Systems10.1016/j.future.2022.03.036134(187-203)Online publication date: Sep-2022
https://doi.org/10.1016/j.future.2022.03.036
Benyahya MCollen AKechagia SNijdam N(2022)Automated city shuttlesComputers and Security10.1016/j.cose.2022.102904122:COnline publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1016/j.cose.2022.102904
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Index Terms

Privacy Risks in Vehicle Grids and Autonomous Cars
1. Networks
  1. Network properties
    1. Network privacy and anonymity
    2. Network security
      1. Mobile and wireless security
      2. Security protocols
  2. Network types
    1. Mobile networks

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Published In

CarSys '17: Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services

October 2017

94 pages

ISBN:9781450351461

DOI:10.1145/3131944

General Chairs:
Raj Rajkumar
Carnegie Mellon University, USA
,
Xinzhou Wu
Qualcomm Research, USA
,
Program Chairs:
Fan Bai
General Motors Research, USA
,
Hsin-Mu (Michael) Tsai
National Taiwan University, Taiwan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 October 2017

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MobiCom '17

Sponsor:

SIGMOBILE

MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking

October 16, 2017

Utah, Snowbird, USA

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Overall Acceptance Rate 8 of 20 submissions, 40%

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Cited By

View all

Iyer RKalbarczyk ZNakka N(2024)Measurement‐Based Analysis of Large SystemsDependable Computing10.1002/9781119743453.ch13(667-743)Online publication date: 26-Apr-2024
https://doi.org/10.1002/9781119743453.ch13
Hasan RHasan R(2022)Pedestrian safety using the Internet of Things and sensors: Issues, challenges, and open problemsFuture Generation Computer Systems10.1016/j.future.2022.03.036134(187-203)Online publication date: Sep-2022
https://doi.org/10.1016/j.future.2022.03.036
Benyahya MCollen AKechagia SNijdam N(2022)Automated city shuttlesComputers and Security10.1016/j.cose.2022.102904122:COnline publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1016/j.cose.2022.102904
Huraj LŠimon MHorák T(2020)Resistance of IoT Sensors against DDoS Attack in Smart Home EnvironmentSensors10.3390/s2018529820:18(5298)Online publication date: 16-Sep-2020
https://doi.org/10.3390/s20185298
Banerjee SJha SCyriac JKalbarczyk ZIyer R(2018)Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)10.1109/DSN.2018.00066(586-597)Online publication date: Jun-2018
https://doi.org/10.1109/DSN.2018.00066

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