01757nam 2200373z- 450 991034704560332120231214133441.01000045068(CKB)4920000000102060(oapen)https://directory.doabooks.org/handle/20.500.12854/43798(EXLCZ)99492000000010206020202102d2015 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierConfidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party SystemsKIT Scientific Publishing20151 electronic resource (XIII, 191 p. p.)3-7315-0328-X 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.Confidential Data-Outsourcing and Self-Optimizing P2P-NetworksSimulationCloud-ComputingPeer-to-PeerSecurityData-OutsourcingSicherheitJünemann Konradauth1314089BOOK9910347045603321Confidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party Systems3031689UNINA