LEADER 01757nam  2200373z- 450 
001 9910347045603321
005 20231214133441.0
010   $a1000045068
035   $a(CKB)4920000000102060
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/43798
035   $a(EXLCZ)994920000000102060
100   $a20202102d2015      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aConfidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party Systems
210   $cKIT Scientific Publishing$d2015
215   $a1 electronic resource (XIII, 191 p. p.)
311   $a3-7315-0328-X 
330   $aThis 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.
517   $aConfidential Data-Outsourcing and Self-Optimizing P2P-Networks
610   $aSimulation
610   $aCloud-Computing
610   $aPeer-to-Peer
610   $aSecurity
610   $aData-Outsourcing
610   $aSicherheit
700   $aJünemann$b Konrad$4auth$01314089
906   $aBOOK
912   $a9910347045603321
996   $aConfidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party Systems$93031689
997   $aUNINA