Dynamic cross-realm authentication for secure SOA-based business processes.
Xu, Jie and Zhang, Dacheng and Liu, Lu and Li, Xianxian (2010) Dynamic cross-realm authentication for secure SOA-based business processes. IEEE transactions on services computing, PP (99). ISSN 1939-1374
Full text is not in this repository.
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
This item is available in the Library Catalogue
Modern distributed business applications are embedding an increasing degree of automation and dynamism, from dynamic supply-chain management, enterprise federations, and virtual collaborations to dynamic service interactions across organizations. Such dynamism leads to new challenges in security and dependability. In Service-Oriented Architecture, collaborating services may belong to different security realms but often need to be engaged dynamically at runtime. If a cross-realm authentication relationship can not be generated dynamically at runtime between heterogeneous security realms, it is technically difficult to enable dynamic business processes through secure collaborations between services. A potential solution to this problem is to generate a trust relationship across security realms so that a user can use the credential in the local security realm to obtain the credentials to access resources in a remote realm. However, the process of generating such kinds of trust relationships between two disjoint security realms is very complex and time consuming, which could involve a large number of extra operations for credential conversion and require collaborations in multiple security realms. In this paper, we propose a new cross-realm authentication protocol for dynamic service interactions. This protocol does not require credential conversion or establishment of authentication paths.
|Research Areas:||A. > School of Science and Technology > Computer and Communications Engineering|
|Deposited On:||07 Apr 2010 16:24|
|Last Modified:||04 Mar 2015 14:32|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year