Robustness, security and privacy in location-based services for future IoT: A survey

L Chen, S Thombre, K Järvinen, ES Lohan… - Ieee …, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) connects sensing devices to the Internet for the purpose of
exchanging information. Location information is one of the most crucial pieces of information …

Survey on misbehavior detection in cooperative intelligent transportation systems

RW Van Der Heijden, S Dietzel… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Cooperative intelligent transportation systems (cITS) are a promising technology to enhance
driving safety and efficiency. Vehicles communicate wirelessly with other vehicles and …

Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities

G Li, SE Li, B Cheng, P Green - Transportation Research Part C: Emerging …, 2017 - Elsevier
Accurately estimating driving styles is crucial to designing useful driver assistance systems
and vehicle control systems for autonomous driving that match how people drive. This paper …

Need data for driver behaviour analysis? Presenting the public UAH-DriveSet

E Romera, LM Bergasa, R Arroyo - 2016 IEEE 19th …, 2016 - ieeexplore.ieee.org
Driving analysis is a recent topic of interest due to the growing safety concerns in vehicles.
However, the lack of publicly available driving data currently limits the progress on this field …

[PDF][PDF] Engineering privacy by design

S Gürses, C Troncoso, C Diaz - Computers, Privacy & Data …, 2011 - software.imdea.org
The design and implementation of privacy requirements in systems is a difficult problem and
requires the translation of complex social, legal and ethical concerns into systems …

Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry

Y Ma, W Li, K Tang, Z Zhang, S Chen - Accident Analysis & Prevention, 2021 - Elsevier
As a product of the shared economy, online car-hailing platforms can be used effectively to
help maximize resources and alleviate traffic congestion. The driver's behavior is …

Privacy-preserving smart metering

A Rial, G Danezis - Proceedings of the 10th annual ACM workshop on …, 2011 - dl.acm.org
Smart grid proposals threaten user privacy by potentially disclosing fine-grained
consumption data to utility providers, primarily for time-of-use billing, but also for profiling …

The value of vehicle telematics data in insurance risk selection processes

P Baecke, L Bocca - Decision Support Systems, 2017 - Elsevier
The advent of the Internet of Things enables companies to collect an increasing amount of
sensor generated data which creates plenty of new business opportunities. This study …

Drivesafe: An app for alerting inattentive drivers and scoring driving behaviors

LM Bergasa, D Almería, J Almazán… - 2014 IEEE Intelligent …, 2014 - ieeexplore.ieee.org
This paper presents DriveSafe, a new driver safety app for iPhones that detects inattentive
driving behaviors and gives corresponding feedback to drivers, scoring their driving and …

Driving behavior analysis with smartphones: insights from a controlled field study

J Paefgen, F Kehr, Y Zhai, F Michahelles - Proceedings of the 11th …, 2012 - dl.acm.org
We evaluate a mobile application that assesses driving behavior based on in-vehicle
acceleration measurements and gives corresponding feedback to drivers. In the insurance …