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Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorMoustaka, Vaia-
dc.contributor.authorTheodosiou, Zenonas-
dc.contributor.authorVakali, Athena I.-
dc.contributor.authorKounoudes, Anastasis-
dc.contributor.authorAnthopoulos, Leonidas G.-
dc.date.accessioned2023-03-20T19:31:02Z-
dc.date.available2023-03-20T19:31:02Z-
dc.date.issued2019-05-
dc.identifier.citationTechnological Forecasting and Social Change, 2019, vol. 142, pp. 285-300en_US
dc.identifier.issn18735509-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/28624-
dc.description.abstractThe proliferation of social platforms and the enhanced connectivity have led people of different age groups, ethnicity, social or economic status to reveal a great deal about themselves online. Data collected from online social networks (OSN) provides social, economic, and cultural information which can be utilized by governments, policy makers, authorities and even commercial industries to better understand market trends and behavioral patterns, that can influence the individual dynamics through open data sources. OSN constitute a breeding ground for the spread of several risks and threats to privacy and security that affect participation and quality of life in smart cities. Although the aspects of privacy and security, and individuals' behavior in social networking are important for the successful development of smart cities, they have not been adequately discussed. To this end, this study aims to address this issue by revealing the risks, threats and individuals' behavior on OSN as an attempt to enhance privacy and security, and boost community's engagement in smart cities. Furthermore, a novel model which outlines the relationships between privacy and security threats, along with some effective countermeasures for the protection of OSN users in smart cities are proposed.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofTechnological Forecasting and Social Changeen_US
dc.rights© Elsevieren_US
dc.subjectSmart peopleen_US
dc.subjectSmart livingen_US
dc.subjectOnline social networksen_US
dc.subjectBehavioral patternsen_US
dc.subjectPrivacyen_US
dc.subjectInformation securityen_US
dc.subjectEngagementen_US
dc.titleΕnhancing social networking in smart cities: Privacy and security borderlinesen_US
dc.typeArticleen_US
dc.collaborationAristotle University of Thessalonikien_US
dc.collaborationSignalGeneriX Ltden_US
dc.collaborationUniversity of Thessalyen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryGreeceen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.techfore.2018.10.026en_US
dc.identifier.scopus2-s2.0-85056004059-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85056004059-
dc.relation.volume142en_US
cut.common.academicyear2018-2019en_US
dc.identifier.spage285en_US
dc.identifier.epage300en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn0040-1625-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Communication and Internet Studies-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0003-3168-2350-
crisitem.author.parentorgFaculty of Communication and Media Studies-
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