Confidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party Systems
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| Názov: | Confidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party Systems |
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| Autori: | Jünemann, Konrad |
| Informácie o vydavateľovi: | KIT Scientific Publishing |
| Rok vydania: | 2019 |
| Zbierka: | Expeditio - Repositorio Institucional Universidad de Bogotá Jorge Tadeo Lozano (UTADEO) |
| Predmety: | Informática, Optimización de redes P2P, Sistemas multipartidos totalmente descentralizados, Almacenamiento -- Capacidad informática o servicios |
| Popis: | This work addresses the inherent lack of control and trust in Multi-Party Systems at the examples of the Database-as-a-Service (DaaS) scenario and public Distributed Hash Tables (DHTs). In the DaaS field, it is shown how confidential information in a database can be protected while still allowing the external storage provider to process incoming queries. For public DHTs, it is shown how these highly dynamic systems can be managed by facilitating monitoring, simulation, and self-adaptation. |
| Druh dokumentu: | book |
| Popis súboru: | 216 páginas; application/pdf |
| Jazyk: | English |
| ISBN: | 978-3-7315-0328-6 3-7315-0328-X |
| Relation: | https://www.ksp.kit.edu/9783731503286; http://hdl.handle.net/20.500.12010/16743 |
| DOI: | 10.5445/KSP/1000045068 |
| Dostupnosť: | https://hdl.handle.net/20.500.12010/16743 https://www.ksp.kit.edu/9783731503286 https://doi.org/10.5445/KSP/1000045068 |
| Rights: | info:eu-repo/semantics/openAccess ; Abierto (Texto Completo) ; https://creativecommons.org/licenses/by-sa/4.0/legalcode |
| Prístupové číslo: | edsbas.19D134A8 |
| Databáza: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | This work addresses the inherent lack of control and trust in Multi-Party Systems at the examples of the Database-as-a-Service (DaaS) scenario and public Distributed Hash Tables (DHTs). In the DaaS field, it is shown how confidential information in a database can be protected while still allowing the external storage provider to process incoming queries. For public DHTs, it is shown how these highly dynamic systems can be managed by facilitating monitoring, simulation, and self-adaptation. |
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| ISBN: | 9783731503286 373150328X |
| DOI: | 10.5445/KSP/1000045068 |