01774nam 2200385z- 450 9910347045603321202102111000045068(CKB)4920000000102060(oapen)https://directory.doabooks.org/handle/20.500.12854/43798(oapen)doab43798(EXLCZ)99492000000010206020202102d2015 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierConfidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party SystemsKIT Scientific Publishing20151 online 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-NetworksCloud-ComputingData-OutsourcingPeer-to-PeerSecuritySicherheitSimulationJünemann Konradauth1314089BOOK9910347045603321Confidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party Systems3031689UNINA