Location Privacy Violation via GPS-agnostic Smart Phone Car Tracking

Li, Zi; Markwood, Ian; Liu, Yao; Pan, Miao; Li, Hongning

doi:10.1109/tvt.2018.2800123

Cited by 25 publications

(14 citation statements)

References 26 publications

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“…While GNSS provides the vehicle's location directly to apps, privacy conscious users may disable localisation while giving access to other sensors that do not present obvious privacy issues. For example, in [50] a magnetometer is used to detect changes in the driving angle and then map those changes onto a potential route.…”

Section: G Behavioural Datamentioning

confidence: 99%

Privacy Challenges With Protecting Live Vehicular Location Context

et al. 2020

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Section: G Behavioural Datamentioning

confidence: 99%

Privacy Challenges With Protecting Live Vehicular Location Context

et al. 2020

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“…• Location tracking via sensor data (e.g., magnetometer [60]) • Data harvesting • Become internal attack vector for remote adversary • Malicious smartphone app interfering with CAN bus [57]…”

Section: Example Attacksmentioning

confidence: 99%

A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis

Maple

Bradbury

et al. 2019

Applied Sciences

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Connected autonomous vehicles (CAVs) will be deployed over the next decade with autonomous functionalities supported by new sensing and communication capabilities. Such functionality exposes CAVs to new attacks that current vehicles will not face. To ensure the safety and security of CAVs, it is important to be able to identify the ways in which the system could be attacked and to build defences against these attacks. One possible approach is to use reference architectures to perform an attack surface analysis. Existing research has developed a variety of reference architectures but none for the specific purpose of attack surface analysis. Existing approaches are either too simple for sufficiently detailed modelling or require too many details to be specified to easily analyse a CAV’s attack surface. Therefore, we propose a reference architecture using a hybrid Functional-Communication viewpoint for attack surface analysis of CAVs, including the Devices, Edge and Cloud systems CAVs interact with. Using two case studies, we demonstrate how attack trees can be used to understand the attack surface of CAV systems.

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“…The preventive measures like engine ignition cutoff, Fuel offer cutoff, electrical shock system and paint spray system area unit put in within the vehicle that is controlled victimization user GSM Mobile. Zi Li et al [10] in a paper "Location Privacy Violation via GPS-agnostic Smart Phone Car Tracking" demonstrate that an assailant continues to be able to track someone by victimization the embedded meter detector in victim's good phone, even once the GPS module is disabled all the time. During this paper a replacement attack that uses a wise phone to trace a automotive while not requesting access to GPS module on this phone.…”

Section: Literature Surveymentioning

confidence: 99%

Anti-Theft Locking For Stolen Vehicles and Canny Password Protected Access to Personalized Vehicles

Udagave¹,

Sankpal²

2019

IJITEE

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The concern of car thieving has exaggerated staggeringly, largely at knifepoint or automotive parks. it's essential would like of the event of a vehicle thieving alert and placement identification system for vehicle homeowners to confirm thieving interference and speedy recovery tries in things wherever a vehicle is missing, taken or driven by any unauthorized person. The thieving alert feature makes use of a trending GSM application that is developed and put in during a transportable device that is embedded within the vehicle to speak with the vehicle owner’s transportable. The communication is established via SMS. The communications established include; (i) causation associate degree SMS alert from put in GSM to vehicle owner’s transportable once the system activates. (ii)Sending associate degree SMS from the vehicle owner’s transportable to lock and unlock the vehicle. A supplementary feature of entrant detection in bolted automotive makes use of PIR device that detects wrong entry of entrant in bolted automotive and inform regarding it to owner and police

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Location Privacy Violation via GPS-agnostic Smart Phone Car Tracking

Cited by 25 publications

References 26 publications

Privacy Challenges With Protecting Live Vehicular Location Context

Privacy Challenges With Protecting Live Vehicular Location Context

A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis

Anti-Theft Locking For Stolen Vehicles and Canny Password Protected Access to Personalized Vehicles

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