Confidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party Systems

• Autore: Jünemann Konrad
• Pubblicazione: KIT Scientific Publishing, 2015
• Descrizione fisica: 1 electronic resource (XIII, 191 p. p.)
• Soggetto non controllato: Simulation; Cloud-Computing; Peer-to-Peer; Security; Data-Outsourcing; Sicherheit
• Sommario/riassunto: 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.
• Altri titoli varianti: Confidential Data-Outsourcing and Self-Optimizing P2P-Networks
• Titolo autorizzato: Confidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party Systems
• ISBN: 1000045068
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910347045603321
• Lo trovi qui: Univ. Federico II