The black mirror: What your mobile phone number reveals about you
| Autor(en): | Krüger, N. Stibe, A. Teuteberg, F. |
Herausgeber: | Abramowicz, W. Klein, G. |
Stichwörter: | Cellular telephones; Evolutionary process; Human interactions; Information privacy; Information systems; Information use; Mobile Device Management; Mobile phone privacy; Mobile Technology; Network layers; Personal information; Phone number; Privacy; Privacy risks; Privacy scoring model; Risk assessment; Scoring models, Data privacy; Social media privacy; Social networking (online), Communication layers | Erscheinungsdatum: | 2020 | Herausgeber: | Springer | Journal: | Lecture Notes in Business Information Processing | Volumen: | 389 LNBIP | Startseite: | 18 | Seitenende: | 32 | Zusammenfassung: | In the present era of pervasive mobile technologies, interconnecting innovations are increasingly prevalent in our lives. In this evolutionary process, mobile and social media communication systems serve as a backbone for human interactions. When assessing privacy risks related to this, privacy scoring models (PSM) can help quantifying the personal information risks. This paper uses the mobile phone number itself as a basis for privacy scoring. We tested 1,000 random phone numbers for their matching to social media accounts. The results raise concerns how network and communication layers are predominately connected. PSMs will support future organizational sensitivity for data linkability. © Springer Nature Switzerland AG 2020. |
Beschreibung: | Conference of 23rd International Conference on Business Information Systems, BIS 2020 ; Conference Date: 8 June 2020 Through 10 June 2020; Conference Code:242749 |
ISBN: | 9783030533366 | ISSN: | 18651348 | DOI: | 10.1007/978-3-030-53337-3_2 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089233620&doi=10.1007%2f978-3-030-53337-3_2&partnerID=40&md5=392d29bfeaf62f86c4c227e16cb2d162 |
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