Fomichev, Mikhail ; Luthra, Manisha ; Benndorf, Maik ; Agnihotri, Pratyush (2023)
No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems.
Neuchatel, Switzerland
doi: 10.1145/3583678.3596889
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Stream processing systems (SPSs) have been designed to process data streams in real-time, allowing organizations to analyze and act upon data on-the-fly, as it is generated. However, handling sensitive or personal data in these multilayered SPSs that distribute resources across sensor, fog, and cloud layers raises privacy concerns, as the data may be subject to unauthorized access and attacks that can violate user privacy, hence facing regulations such as the GDPR across the SPS layers. To address these issues, different privacy-preserving mechanisms (PPMs) are proposed to protect user privacy in SPSs. Yet, selecting and applying such PPMs in SPSs is challenging, since they must operate in real-time while tolerating little overhead. The multilayered nature of SPSs complicates privacy protection because each layer may confront different privacy threats, which must be addressed by specific PPMs. To overcome these challenges, we present Prinseps, our comprehensive privacy vision for SPSs. Towards this vision, we (1) identify critical privacy threats on different layers of the multilayered SPS, (2) evaluate the effectiveness of existing PPMs in addressing such threats, and (3) integrate privacy considerations into the decision-making processes of SPSs.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Fomichev, Mikhail ; Luthra, Manisha ; Benndorf, Maik ; Agnihotri, Pratyush |
| Art des Eintrags: | Bibliographie |
| Titel: | No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems |
| Sprache: | Englisch |
| Publikationsjahr: | 27 Juni 2023 |
| Ort: | Neuchatel, Switzerland |
| Verlag: | Association for Computing Machinery |
| Buchtitel: | Proceedings of the 17th ACM International Conference on Distributed and Event-Based Systems |
| Reihe: | DEBS '23 |
| Veranstaltungsort: | Neuchatel, Switzerland |
| DOI: | 10.1145/3583678.3596889 |
| URL / URN: | https://doi.org/10.1145/3583678.3596889 |
| Kurzbeschreibung (Abstract): | Stream processing systems (SPSs) have been designed to process data streams in real-time, allowing organizations to analyze and act upon data on-the-fly, as it is generated. However, handling sensitive or personal data in these multilayered SPSs that distribute resources across sensor, fog, and cloud layers raises privacy concerns, as the data may be subject to unauthorized access and attacks that can violate user privacy, hence facing regulations such as the GDPR across the SPS layers. To address these issues, different privacy-preserving mechanisms (PPMs) are proposed to protect user privacy in SPSs. Yet, selecting and applying such PPMs in SPSs is challenging, since they must operate in real-time while tolerating little overhead. The multilayered nature of SPSs complicates privacy protection because each layer may confront different privacy threats, which must be addressed by specific PPMs. To overcome these challenges, we present Prinseps, our comprehensive privacy vision for SPSs. Towards this vision, we (1) identify critical privacy threats on different layers of the multilayered SPS, (2) evaluate the effectiveness of existing PPMs in addressing such threats, and (3) integrate privacy considerations into the decision-making processes of SPSs. |
| Freie Schlagworte: | privacy, threat modeling, access control, IoT, stream processing |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Multimedia Kommunikation 20 Fachbereich Informatik 20 Fachbereich Informatik > Data and AI Systems 20 Fachbereich Informatik > Sichere Mobile Netze DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C2: Informationszentrische Sicht |
| Hinterlegungsdatum: | 31 Aug 2023 09:13 |
| Letzte Änderung: | 31 Aug 2023 09:30 |
| PPN: | 511186509 |
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