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https://hdl.handle.net/123456789/1094| Τύπος: | Κεφάλαιο σε πρακτικά συνεδρίου |
| Τίτλος: | Self adaptive privacy in cloud computing environments: identifying the major socio-technical concepts |
| Συγγραφέας: | [EL] Κίτσιου, Αγγελική[EN] Kitsiou, Angeliki [EL] Τζωρτζάκη, Ελένη[EN] Tzortzaki, Eleni [EL] Καλλονιάτης, Χρήστος[EN] Kalloniatis, Christos [EL] Γκρίτζαλης, Στέφανος[EN] Gritzalis, Stefanos |
| Ημερομηνία: | 17/12/2020 |
| Περίληψη: | Privacy protection within Cloud Computing Environments (CCE) is extremely complex to be realized, due to multiple stakeholders’ interactions that lead to several privacy risks and leaks. Therefore, the necessity for self-adaptive privacy preserving schemes, in order to safeguard users’ privacy by considering their social and technological context within CCE is highlighted. Our analysis has indicated that a group of criteria should be satisfied in order to support this aim. However, it is pointed out that the criteria concerning the identification of users’ social needs and stakeholders’ technical privacy needs are not sufficiently satisfied, failing to determine which stakeholders’ privacy aspects should be examined and how. Towards this, the paper points out that Self Adaptive Privacy within CCE should be addressed as an emerged interdisciplinary research area, since the identified criteria concern both users’ social norms and technical privacy artifacts. Based on these criteria, the social and technical privacy aspects that should be considered from both users’ and developers’ perspective are discussed, leading to the identification of the socio-technical concepts and their interdependencies that should be taken into account. It proposes that a proper research design regarding Self Adaptive Privacy within CCE should be built, based on an interrelated three-layered examination that concerns users’, developers’ and CCE context, aiming to lay the ground for the identification of the Self-Adaptive Privacy related requirements within CCE. |
| Γλώσσα: | Αγγλικά |
| Σελίδες: | 15 |
| DOI: | 10.1007/978-3-030-64330-0 |
| ISBN: | 978-3-030-64329-4 |
| ISSN: | 0302-9743 |
| Θεματική κατηγορία: | [EL] Μηχανική και Τεχνολογίες, άλλοι τομείς[EN] Engineering and Technologies, miscellaneous |
| Λέξεις-κλειδιά: | privacy; Self adaptive privacy; Cloud computing environments; Users’ social norms; Developers’ perceptions; Privacy risks |
| Κάτοχος πνευματικών δικαιωμάτων: | © Springer Nature Switzerland AG 2020 |
| Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: | https://link.springer.com/chapter/10.1007/978-3-030-64330-0_8 |
| Ηλεκτρονική διεύθυνση περιοδικού: | https://link.springer.com/book/10.1007/978-3-030-64330-0 |
| Τίτλος πηγής δημοσίευσης: | Computer Security: ESORICS 2020 International Workshops, CyberICPS, SECPRE, and ADIoT |
| Τόμος: | 12501 |
| Σελίδες τεκμηρίου (στην πηγή): | 117-132 |
| Σειρά δημοσίευσης: | Lecture Notes in Computer Science Book Series |
| Όνομα εκδήλωσης: | ESORICS 2020 International Workshops, CyberICPS, SECPRE, and ADIoT |
| Τοποθεσία εκδήλωσης: | Guildford, UK |
| Ημ/νία έναρξης εκδήλωσης: | 14/09/2020 |
| Ημ/νία λήξης εκδήλωσης: | 18/09/2020 |
| Σημειώσεις: | This research is co-financed by Greece and the European Union (European Social Fund- ESF) through the Operational Programme “Human Resources Development, Education and Lifelong Learning 2014-2020” in the context of the project “Adaptive Privacy-aware Cloud-based Systems: Socio-technical requirements” (MIS:5047231)”. |
| Εμφανίζεται στις συλλογές: | Ερευνητικές ομάδες |
Αρχεία σε αυτό το τεκμήριο:
| Αρχείο | Περιγραφή | Σελίδες | Μέγεθος | Μορφότυπος | Έκδοση | Άδεια | |
|---|---|---|---|---|---|---|---|
| 2.3.3.pdf | Self Adaptive Privacy in Cloud Computing Environments: Identifying the Major Socio-Technical Concepts | 15 σελίδες | 18.6 MB | Adobe PDF | - |  | Δείτε/ανοίξτε |