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Privacy in the Internet of Things

Zhipeng Cai, Rong N. Chang, Stefan Forsström, Anton Kos, Chaokun Wang
2018 Wireless Communications and Mobile Computing  
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

Yaoxue Zhang, Yongmin Zhang, Ju Ren, Jelena Misic, Antonia M. Tulino
2021 IEEE Transactions on Vehicular Technology  
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

Rui Cao, Wei Tu, Jinzhou Cao, Qingquan Li
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Naercio Pedro Magaia Magaia, Carlos Borrego, Paulo Pereira, Miguel Pupo Correia
2018 IEEE Transactions on Vehicular Technology  
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

Santi Phithakkitnukoon, Titipat Sukhvibul, Merkebe Demissie, Zbigniew Smoreda, Juggapong Natwichai, Carlos Bento
2017 EPJ Data Science  
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]

Hongyu Jin and Mohammad Khodaei and Panos Papadimitratos
2020 arXiv   pre-print
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

Swati Basu Ghose, Anima Akanchha
2020 International journal of management, technology, and social science  
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

Xiaofan Jia, Ling Xing, Jianping Gao, Honghai Wu
2020 IEEE Access  
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

Liangmin Wang, Zhuo Lu, Hongjian Sun, Yantian Hou, Mengxing Huang
2017 Journal of Electrical and Computer Engineering  
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

Gang Pan, Guande Qi, Wangsheng Zhang, Shijian Li, Zhaohui Wu, Laurence Yang
2013 IEEE Communications Magazine  
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

Swati Basu Ghose, Anima Akanchha
2020 Zenodo  
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

Philip Asuquo, Haitham Cruickshank, Jeremy Morley, Chibueze P. Anyigor Ogah, Ao Lei, Waleed Hathal, Shihan Bao, Zhili Sun
2018 IEEE Internet of Things Journal  
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

Talal Ashraf Butt, Razi Iqbal, Khaled Salah, Moayad Aloqaily, Yaser Jararweh
2019 IEEE Access  
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

Salil S. Kanhere
2011 2011 IEEE 12th International Conference on Mobile Data Management  
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

Yuhui Zhao, Xinyan Zhu, Wei Guo, Bing She, Han Yue, Ming Li
2019 Sustainability  
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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