Zhi-gang Chen

Central South University, Ch’ang-sha-shih, Hunan, China

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Publications (2)0 Total impact

  • Li Liu · Zhi-gang Chen
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    ABSTRACT: A fundamental challenge in service- oriented computing (SOC) is to select trustworthy Service. Existing approaches for service selection fail to capture the dynamic trust relationships between stranger services. Automatic trust negotiation (ATN)is a new approach to establish trust between strangers on the internet through the bilateral exchange of digital credentials. When a credential contains sensitive information, its disclosure is governed by an access control policy that specifies credentials that must be received before the sensitive credential is disclosed. The traditional ATN is inefficient in negotiation and strategic cycle may appear. In this paper we proposed a service selection scheme based on attribute signature (WSSABS). WSSABS, based on the Decisional Bilinear Diffie-Hellman, provide administratively scalable alternative to attribute-based authorization methods and provide fine-grained access control for Web service. Attribute Signature with attribute value commit methods are used to prevent collusion and forge. Finally, we show a brief security proof about the scheme. Keywords- Privacy Preserving;Services Selection; Commit algorithm;Attribute Signature;Bilinear Diffie-Hellman
    Third International Conference on Communications and Mobile Computing, CMC 2011, Qingdao, China, 18-20 April 2011; 01/2011
  • Li Liu · Chang-Yun Li · Liu-chun Tang · Zhi-gang Chen
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    ABSTRACT: Service discovery is the premise of service composition. The existing service discovery methods only consider individual service functions and static properties, less considering the inherent dependencies between the composite services. The data dependencies between services reveal the logic correlation between the composite services, but it is of great significance for the service composition and service discovery. Propose a domain ontology services dependency graph (DOSDG) model of composite service discovery based on the data dependence relations. This model consists of two layers composed of the lower from the domain services dependency graph (DSDG) and the higher domain ontology agent (DOA). Each DOA manages a DSDG, and all of the DOA forms a P2P structure. Reasoning the service domain context and the correlation between the services from user's composite request can improve the efficiency in runtime. This approach takes into account the service domain features and the correlation between services, so it not only greatly reduces the services search space and can amend the user's request.
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on; 09/2010

Publication Stats

2 Citations

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Institutions

  • 2010–2011
    • Central South University
      • School of Information Science and Engineering
      Ch’ang-sha-shih, Hunan, China