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Privacy in the Internet of Things
2018
Wireless Communications and Mobile Computing
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To address these two issues, a social relationship attack model is introduced and the mobility intention-based relationship inference model is proposed. ...
social relationships autonomously to improve traffic conditions. ...
doi:10.1155/2018/8281379
fatcat:jtukvm7aonb2bi4ewbubuerujm
Guest EditorialIntroduction to the Special Section on Vehicular Networks in the Era of 6G: End-Edge-Cloud Orchestrated Intelligence
2021
IEEE Transactions on Vehicular Technology
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The article "Social Relationship Inference over Private Vehicle Mobility Data" by Li et al., focuses on the social relationship privacy inherent in private vehicle mobility data. ...
A SEmantic-aware and Memory-Efficient scheme (SEME) is proposed for inferring social relationships from private vehicle mobility data. ...
doi:10.1109/tvt.2021.3084829
fatcat:5aynenhicjfgxntjn5ctsg5ze4
COMPARISON OF URBAN HUMAN MOVEMENTS INFERRING FROM MULTI-SOURCE SPATIAL-TEMPORAL DATA
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The obtained results show that human movements inferred from smart card data and mobile phone data have a correlation of 0.635. ...
This research investigates the relationship of city-wide human movements inferring from two types of spatial-temporal data at traffic analysis zone (TAZ) level. ...
the trips inferred from smart card data and mobile phone data. ...
doi:10.5194/isprs-archives-xli-b2-471-2016
fatcat:exohwdu7mfddfbkzlscjtzafdq
ePRIVO: An enhanced PRIvacy-preserVing Opportunistic routing protocol for Vehicular Delay-Tolerant Networks
2018
IEEE Transactions on Vehicular Technology
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It addresses the problem of vehicles taking routing decision meanwhile keeping their information private, i.e, vehicles compute their similarity and/or compare their routing metrics in a private manner ...
The effectiveness of ePRIVO is supported through extensive simulations with synthetic mobility models and a real mobility trace. ...
It was also sponsored by The Engineering, and Physical Sciences Research Council (EPSRC) (EP/P025862/1), Royal Society-Newton Mobility Grant (IE160920). ...
doi:10.1109/tvt.2018.2870113
fatcat:ugwfnei7c5c6fervhrnartwula
Inferring social influence in transport mode choice using mobile phone data
2017
EPJ Data Science
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A longitudinal mobile phone data that include both location and communication logs is analyzed to infer social influence in terms of ego-network effect in the commute mode choice. ...
Moreover, social network is shown to influence the commute mode choice, as the likelihood of choosing a particular mode choice rises with the portion of social ties choosing that specific mode. ...
Availability of data and materials The dataset used in this study was provided by the France Telecom. ...
doi:10.1140/epjds/s13688-017-0108-6
fatcat:j5vpeqq5xfaotazbluutglzozi
Security and Privacy in Vehicular Social Networks
[article]
2020
arXiv
pre-print
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and infotainment applications, notably LBS as well as a gamut of services by mobile providers. ...
We note that beyond safety applications that have drawn a lot of attention in VC systems, there is significant and rising interest in vehicle-to-vehicle interaction for a range of transportation efficiency ...
Social networks can also be decentralized. Decentralized social networks highlight users' control over their own data. ...
arXiv:2001.08014v1
fatcat:7lydpc4ixjgtxl7ynfoge6w4n4
A Study on Customer's Preference for Personal Vehicle Insurance Provided by Different Insurance Companies in Bengaluru
2020
International journal of management, technology, and social science
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Primary data has been collected through questionnaire and analysed to ascertain about the factors responsible for taking out vehicle insurance, choice between private and public sector insurance companies ...
The primary purpose of vehicle insurance is to cover the vehicle against damage, personal injury, and third-party liability. ...
Inference: From the data, it can be inferred that majority of the respondents prefer private sector for vehicle insurance. Fig. 3 gives the data about the companies preferred by customers. ...
doi:10.47992/ijmts.2581.6012.0104
fatcat:kbrlskwconezhor4k3fdvku4fy
A Survey of Location Privacy Preservation in Social Internet of Vehicles
2020
IEEE Access
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also enabling owners to abandon mobile phone social functions after they get into the cars. ...
For example, unreliable social partners may sell user relevant data. Attackers may also speculate on user habits and preferences by analyzing social relationships. ...
doi:10.1109/access.2020.3036044
fatcat:ygebciupkfgk7j3p2uehlvfzse
Security and Privacy in Internet of Things with Crowd-Sensing
2017
Journal of Electrical and Computer Engineering
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For data storage and processing in the back-end IoTs, cloud servers may be curious to infer private information of data owners and query users or even maliciously modify some query results. ...
e rapid proliferation of mobile sensing devices, such as smartphones, wearable devices, and mobile vehicles, has promoted the emergence of a novel sensing paradigm for Internet of ings (IoTs). ...
For data storage and processing in the back-end IoTs, cloud servers may be curious to infer private information of data owners and query users or even maliciously modify some query results. ...
doi:10.1155/2017/2057965
fatcat:3i6d5hvfbjdbzjsn2y3k6uefwa
Trace analysis and mining for smart cities: issues, methods, and applications
2013
IEEE Communications Magazine
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Traces of moving objects in a city, which depict lots of semantics concerning human mobility and city dynamics, are becoming increasingly important. ...
In this article, we first give a brief introduction to trace data; then we present six research issues in trace analysis and mining, and survey the state-of-the-art methods; finally, five promising application ...
REGRESSION Regression is useful for measuring trace-based social relationships and fitting a mobility model. ...
doi:10.1109/mcom.2013.6525604
fatcat:57ge66oshbebdc5azxvbyu5hru
A Study on Customer's Preference for Personal Vehicle Insurance Provided by Different Insurance Companies in Bengaluru
2020
Zenodo
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Primary data has been collected through questionnaire and analysed to ascertain about the factors responsible for taking out vehicle insurance, choice between private and public sector insurance companies ...
The primary purpose of vehicle insurance is to cover the vehicle against damage, personal injury, and third-party liability. ...
Inference: From the data, it can be inferred that majority of the respondents prefer private sector for vehicle insurance. Fig. 3 gives the data about the companies preferred by customers. ...
doi:10.5281/zenodo.3997395
fatcat:k4pvxqmucnbefdsx3gxddwlqcm
Security and Privacy in Location-Based Services for Vehicular and Mobile Communications: An Overview, Challenges and Countermeasures
2018
IEEE Internet of Things Journal
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Location privacy is one of the major challenges in vehicular and mobile networks. In this article, we analyse the security and privacy requirements for LBS in vehicular and mobile networks. ...
Specifically, this paper covers privacy enhancing technologies and cryptographic approaches that provide location privacy in vehicular and mobile networks. ...
Three query types are introduced to the LBS server; private queries over private data, private queries over public data and public queries over private data. ...
doi:10.1109/jiot.2018.2820039
fatcat:y2gdcllac5fbpdd2nnxn4tib2i
Privacy Management in Social Internet of Vehicles: Review, Challenges and Blockchain based Solutions
2019
IEEE Access
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SIoV generates a massive amount of real-time data enriched with context and social relationship information about vehicles, drivers, passengers, and the surrounding environment. ...
INDEX TERMS Privacy management, blockchain, social Internet of Vehicles, Internet of Vehicles, social Internet of things, Internet of things. ...
Furthermore, the cloud layer is capable of extracting interactions of different vehicles that are reported by fog layer to infer social relationships between different vehicles. ...
doi:10.1109/access.2019.2922236
fatcat:i26u7gifpzatxojtactrefmcdm
Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces
2011
2011 IEEE 12th International Conference on Mobile Data Management
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Using this paradigm, ordinary citizens can collect multi-modal data streams from the surrounding environment using their mobile devices and share the same using existing communication infrastructure (e.g ...
The data contributed from multiple participants can be combined to build a spatiotemporal view of the phenomenon of interest and also to extract important community statistics. ...
Moreover, the mobile phones capture the participants' context during their meals by recording time of day, location, and sound samples to infer potential relationships between the participants' behavior ...
doi:10.1109/mdm.2011.16
dblp:conf/mdm/Kanhere11
fatcat:twozfvbexvfixl4r3sdsuzpfpy
Exploring the Weekly Travel Patterns of Private Vehicles Using Automatic Vehicle Identification Data: A Case Study of Wuhan, China
2019
Sustainability
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This article explores the weekly travel patterns of private vehicles based on AVI data in Wuhan, a megacity in Central China. ...
The automatic vehicle identification data collected by an overhead traffic monitoring system provides a means for understanding urban traffic flows and human mobility. ...
Acknowledgments: The Wuhan traffic management bureau collected the automatic vehicle identification data, motor vehicle registration data, and information on overhead traffic monitoring cameras for monitoring ...
doi:10.3390/su11216152
fatcat:o6axjje5g5ar7ew5gjrqgjlave
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