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Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing
[chapter]
2014
Lecture Notes in Computer Science
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Experimental results on real and synthetic datasets using an auto-encoder show that RMP yields comparable results to non-privacy preserving anomaly detection. ...
In collaborative anomaly detection, multiple data sources submit their data to an on-line service, in order to detect anomalies with respect to the wider population. ...
RMP Privacy-Preserving Anomaly Detection Scheme In this section we present our Random Multiparty Perturbation (RMP) scheme, which considers a general participatory sensing architecture comprising three ...
doi:10.1007/978-3-319-06608-0_48
fatcat:i6jiuue245hzdfbtsmmlzie7pi
FL-NoiseMap: A Federated Learning-based privacy-preserving Urban Noise-Pollution Measurement System
2022
Noise Mapping
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Moreover, we design an "m-hop" application model modification approach for privacy preservation, unique to FL-NoiseMap. ...
Traditionally, simulation-based, small-scale sensor-network-based, and participatory sensing-based approaches have been used to estimate noise levels in urban areas. ...
Privacy preservation FL-NoiseMap is poised to enhance user privacy since the participatory sensed raw data is never transmitted to the application server. ...
doi:10.1515/noise-2022-0153
fatcat:iqsuw2ncsjbtvivjiqs3ve4bny
A survey on privacy in mobile participatory sensing applications
2011
Journal of Systems and Software
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In this survey, we identify the sensing modalities used in current participatory sensing applications, and assess the threats to user privacy when personal information is sensed and disclosed. ...
Based on our findings, we identify open issues and outline possible solutions to guarantee user privacy in participatory sensing. ...
Acknowledgment The authors would like to thank the anonymous reviewers for their valuable comments and suggestions. This work was supported by CASED (www.cased.de). ...
doi:10.1016/j.jss.2011.06.073
fatcat:o75syzaj7fdx5mw6tg2x73lxqy
Differentially Private Mobile Crowd Sensing Considering Sensing Errors
2020
Sensors
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to preserve privacy while analyzing participants' surrounding information. ...
To avoid potential undesired side effects of this data analysis method, such as privacy violations, considerable research has been conducted over the last decade to develop participatory sensing that looks ...
For example, Bridgelall et al. proposed a system that detects anomaly locations of roadways using participatory vehicle sensors [2] . ...
doi:10.3390/s20102785
pmid:32422958
pmcid:PMC7285772
fatcat:4fewvjebbnechfmrddb6vafsu4
UNISENSE: A Unified and Sustainable Sensing and Transport Architecture for Large Scale and Heterogeneous Sensor Networks
[chapter]
2015
Complex Systems Design & Management Asia
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In this paper, we propose UNISENSE, a unified and sustainable sensing and transport architecture for large scale and heterogeneous sensor networks. ...
The proposed architecture incorporates seven principal components, namely, application profiling, node architecture, intelligent network design, network management, deep sensing, generalized participatory ...
For both the static and the participatory sensing aspects of the UNISENSE architecture, trust management detects and handles attacks on the trusted network infrastructure. ...
doi:10.1007/978-3-319-12544-2_2
dblp:conf/csdm/JinT14
fatcat:ll3gsbcgvzgrfdibi2jchozaca
Guest Editorial: Special issue on privacy and trust management in cloud and distributed systems
2013
IEEE Transactions on Information Forensics and Security
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Gao et al. in their paper "TrPF: A Trajectory Privacy-Preserving Framework for Participatory Sensing" go beyond pure location privacy. ...
The proposed scheme protects online rating systems from a new angle: the combination of time domain anomaly detection and Dempster-Shafer theory-based trust computation. ...
doi:10.1109/tifs.2013.2259431
fatcat:pfkddu75lbh4zautvbs3hydksm
Privacy-Preserving Detection of Anomalous Phenomena in Crowdsourced Environmental Sensing
[chapter]
2015
Lecture Notes in Computer Science
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In this paper, we propose a technique for privacy-preserving detection of anomalous phenomena, where the privacy of the individuals participating in collaborative environmental sensing is protected according ...
We build a differentially-private index structure that is carefully customized to address the specific needs of anomalous phenomenon detection, and we derive privacy-preserving query strategies that judiciously ...
In this paper, we propose an accurate technique for privacy-preserving detection of anomalous phenomena in crowdsourced sensing. ...
doi:10.1007/978-3-319-22363-6_17
fatcat:fsp6skgtkjgl3guxag246to2ma
Securing Cognitive Wireless Sensor Networks: A Survey
2014
International Journal of Distributed Sensor Networks
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Although the concept of CWSNs is quite new, a lot of work in the area of security and privacy has been done until now, and this work attempts to present an overview of the most important works for securing ...
for identifying and accessing the free spectrum bands. ...
On the other hand, a large area may preserve the nodes' location information but can degrade significantly the performance of the participatory sensing system.
Sensed Data Privacy. ...
doi:10.1155/2014/393248
fatcat:whstm23q3rduhez2ayyr3u3erm
UBISOUND: DESIGN A USER GENERATED MODEL IN UBIQUITOUS GEOSPATIAL INFORMATION ENVIRONMENT FOR SOUND MAPPING
2014
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Two main tasks to be studied are: 1) Developing a framework, called UbiSound, to provide the infrastructure and architectural support for realizing ubiquitous GIS services; and 2) Designing and developing ...
components, and existing technologies in ubiquitous computing (i.e. wireless and mobile positioning technologies, and data acquisition techniques and processing via sensors) to develop a middleware, and tools for ...
NoiseTubePrime (Drosatos, 2014 ) is a "first operational privacy-preserving system for participatory sensing" in the context of NoiseTube. ...
doi:10.5194/isprsarchives-xl-2-w3-243-2014
fatcat:u7kzsh234jd6xm5rbgeqtkhfmy
Credibility on Crowdsensing Data Acquisition
2019
Journal of Communication and Information Systems
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This paper focuses on the credibility of crowd sensed data. The ubiquity of crowdsensing platforms has enabled the capture of sensed information useful for several applications domains. ...
(("participatory sensing" OR "opportunistic sensing" OR crowd-sensing OR crowd-sense OR crowdsensing OR crowdsense) AND ("false data detection" OR "anomaly detection" OR "data correction" OR "data accuracy ...
categories. • Crowdsense: participatory sensing, opportunistic sensing, crowdsensing. • Credibility: false data detection, anomaly detection, data correction, confidence level, data accuracy, data quality ...
doi:10.14209/jcis.2019.26
fatcat:o4cja467jbgenap4akpxmcu3ym
Privacy-Friendly Mobility Analytics using Aggregate Location Data
[article]
2016
arXiv
pre-print
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geared to forecast traffic volumes in regions of interest and to detect mobility anomalies in them. ...
In this paper, we study the feasibility of crowd-sourced mobility analytics over aggregate location information: users periodically report their location, using a privacy-preserving aggregation protocol ...
This research is supported by a Xerox University Affairs Committee grant on "Secure Collaborative Analytics." ...
arXiv:1609.06582v2
fatcat:myzuz2tulnet3fpu7nnybgi53i
Privacy-friendly mobility analytics using aggregate location data
2016
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '16
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geared to forecast traffic volumes in regions of interest and to detect mobility anomalies in them. ...
In this paper, we study the feasibility of crowd-sourced mobility analytics over aggregate location information: users periodically report their location, using a privacy-preserving aggregation protocol ...
This research is supported by a Xerox University Affairs Committee grant on "Secure Collaborative Analytics." ...
doi:10.1145/2996913.2996971
dblp:conf/gis/PyrgelisCR16
fatcat:cqhwczq6njbarnxaz4wky7bzdi
A Survey on Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine
[article]
2023
arXiv
pre-print
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However, various limitations hinder physical sensing's effectiveness in critical scenarios such as disaster response and urban anomaly detection. ...
Propelled by the omnipresence of versatile data capture, communication, and computing technologies, physical sensing has revolutionized the avenue for decisively interpreting the real world. ...
Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on. ...
arXiv:2104.01360v2
fatcat:lb6azrdxubasteb3xl5zusykga
A Survey of Techniques for Automatically Sensing the Behavior of a Crowd
2018
ACM Computing Surveys
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A survey of techniques for automatically sensing the behavior of a crowd. 0, 0, Article 0 ( 0), 50 pages. ...
We come to the conclusion that despite the numerous reports in popular media, relatively few groups have been looking into practical solutions for sensing pedestrian behavior. ...
- - t - - - device's name is enough for preserving privacy. ...
doi:10.1145/3129343
fatcat:4rrojscl65hwvefxjwmzexd62u
Big Data Meet Cyber-Physical Systems: A Panoramic Survey
[article]
2018
arXiv
pre-print
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It is expected to outstandingly increase the growth rate of raw sensed data. ...
Compared with other survey papers, this is the first panoramic survey on big data for CPS, where our objective is to provide a panoramic summary of different CPS aspects. ...
Next, we list two different social computing tools for data collection, mainly, participatory sensing and crowd-sensing. 1) Participatory sensing: Participatory sensing or community sensing allows users ...
arXiv:1810.12399v1
fatcat:2diydpforraofhyhhkfs3fnjtu
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