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dc.contributor.authorCosta, Constantinosen
dc.contributor.authorLaoudias, Christosen
dc.contributor.authorZeinalipour-Yazdi, Constantinos D.en
dc.contributor.authorGunopulos, Dimitriosen
dc.creatorCosta, Constantinosen
dc.creatorLaoudias, Christosen
dc.creatorZeinalipour-Yazdi, Constantinos D.en
dc.creatorGunopulos, Dimitriosen
dc.date.accessioned2019-11-13T10:39:27Z
dc.date.available2019-11-13T10:39:27Z
dc.date.issued2011
dc.identifier.isbn978-1-4244-8958-9
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53798
dc.description.abstractIn this demonstration paper, we present a powerful distributed framework for finding similar trajectories in a smartphone network, without disclosing the traces of participating users. Our framework, exploits opportunistic and participatory sensing in order to quickly answer queries of the form: Report objects (i.e., trajectories) that follow a similar spatio-temporal motion to Q, where Q is some query trajectory. SmartTrace, relies on an in-situ data storage model, where geo-location data is recorded locally on smartphones for both performance and privacy reasons. SmartTrace then deploys an efficient top-K query processing algorithm that exploits distributed trajectory similarity measures, resilient to spatial and temporal noise, in order to derive the most relevant answers to Q quickly and efficiently. Our demonstration shows how the SmartTrace algorithmics are ported on a network of Android-based smartphone devices with impressive query response times. To demonstrate the capabilities of SmartTrace during the conference, we will allow the attendees to query local smartphone networks in the following two modes: i) Interactive Mode, where devices will be handed out to participants aiming to identify who is moving similar to the querying nodeen
dc.description.abstractand ii) Trace-driven Mode, where a large-scale deployment can be launched in order to show how the K most similar trajectories can be identified quickly and efficiently. The conference attendees will be able to appreciate how interesting spatio-temporal search applications can be implemented efficiently (for performance reasons) and without disclosing the complete user traces to the query processor (for privacy reasons)1. For instance, an attendee might be able to determine other attendees that have participated in common sessions, in order to initiate new discussions and collaborations, without knowing their trajectory or revealing his/her own trajectory either. © 2011 IEEE.en
dc.sourceProceedings - International Conference on Data Engineeringen
dc.source2011 IEEE 27th International Conference on Data Engineering, ICDE 2011en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79957876128&doi=10.1109%2fICDE.2011.5767934&partnerID=40&md5=72d5b0fac9c77c5807faf9dd58da7d2c
dc.subjectSignal encodingen
dc.subjectTrajectoriesen
dc.subjectQuery processingen
dc.subjectUser interfacesen
dc.subjectQuerying nodesen
dc.subjectTop-k query processingen
dc.subjectAlgorithmicsen
dc.subjectDistributed frameworken
dc.subjectGeolocationsen
dc.subjectIn-situ dataen
dc.subjectInteractive modeen
dc.subjectLarge-scale deploymenten
dc.subjectQuery processoren
dc.subjectQuery responseen
dc.subjectSearch applicationen
dc.subjectSmart phonesen
dc.subjectSpatio-temporalen
dc.subjectTemporal noiseen
dc.subjectTrajectory similaritiesen
dc.subjectUser traceen
dc.titleSmartTrace: Finding similar trajectories in smartphone networks without disclosing the tracesen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/ICDE.2011.5767934
dc.description.startingpage1288
dc.description.endingpage1291
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: Microsoften
dc.description.notesEMC2en
dc.description.notesGreenplumen
dc.description.notesIBMen
dc.description.notesHPen
dc.description.notesConference code: 85026en
dc.description.notesCited By :16</p>en
dc.contributor.orcidZeinalipour-Yazdi, Constantinos D. [0000-0002-8388-1549]
dc.contributor.orcidLaoudias, Christos [0000-0002-2907-7488]
dc.gnosis.orcid0000-0002-8388-1549
dc.gnosis.orcid0000-0002-2907-7488


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