Web服务中基于本体推理的隐私保护研究
发布时间：2018-10-05 18:58
【摘要】：当前互联网中的Web服务提供方为用户提供了功能强大、多样化的服务，方便了人们的工作、生活。用户在享受便利服务的同时，需要向Web服务提供方释放一些个人隐私信息，用以支撑服务的执行。由于面向服务环境的自治、开放等特点，服务的提供方获得用户隐私信息后，可能会未经授权访问、操作、暴露它们，，造成用户隐私信息的泄露。给用户工作、生活造成极大困挠。 如何在满足用户功能性需求的前提下，保护用户的隐私信息是Web服务中隐私保护的一个关键问题。当前国内外研究人员对Web服务的研究方向集中在满足用户功能性需求以及服务组合方面，对于用户隐私保护则考虑不足。针对当前研究工作的不足，本文围绕Web服务中用户的隐私保护展开研究，提出了一种基于本体推理的隐私保护服务方法。本文主要工作如下： （1）本文提出了一个隐私保护服务方法，用于解决当前Web服务提供方对用户隐私保护不力的问题，为Web服务中用户的隐私保护提供了一个中立的、第三方的平台。 （2）本文构建了一个隐私领域本体。该隐私本体基于本文提出的隐私领域模型以及隐私领域知识构建而成，为隐私保护服务提供了隐私领域的语义支持。 （3）本文提出了一种将用户自然语言描述的隐私偏好形式化成SWRL（Semantic Web RuleLanguage）规则的方法，为隐私保护服务提供了推理规则。 （4）基于以上方法和理论，本文设计并实现了隐私保护服务的原型系统，并通过两个实例证明了本文所提方法的正确性和有效性。
[Abstract]:At present, the Web service providers in the Internet provide powerful and diversified services to users and facilitate people's work and life. At the same time, users need to release some personal privacy information to the Web service provider to support the implementation of the service. Due to the autonomy and openness of the service-oriented environment, the service provider may access, operate and expose the user privacy information without authorization, resulting in the disclosure of user privacy information. Work for the user, life caused a great scratch. How to protect the user's privacy information is a key problem in Web services under the premise of satisfying the user's functional requirements. At present, researchers at home and abroad focus on meeting the functional requirements of users and composition of services, but not enough on privacy protection. Aiming at the deficiency of current research work, this paper focuses on the privacy protection of users in Web services, and proposes a privacy protection service method based on ontology reasoning. The main work of this paper is as follows: (1) this paper proposes a privacy protection service method, which is used to solve the problem that the current Web service providers do not protect the privacy of users, and provides a neutral method for the privacy protection of users in Web services. Third party platform. (2) this paper constructs a privacy domain ontology. The privacy ontology is based on the privacy domain model and privacy domain knowledge proposed in this paper. It provides semantic support for privacy protection services. (3) this paper proposes a method to convert the privacy preference of user's natural language description into SWRL (Semantic Web RuleLanguage) rule, which provides inference rules for privacy protection service. (4) based on the above methods and theories, the prototype system of privacy protection service is designed and implemented in this paper, and two examples are given to prove the correctness and effectiveness of the proposed method.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09;TP391.1
本文编号：2254511
[Abstract]:At present, the Web service providers in the Internet provide powerful and diversified services to users and facilitate people's work and life. At the same time, users need to release some personal privacy information to the Web service provider to support the implementation of the service. Due to the autonomy and openness of the service-oriented environment, the service provider may access, operate and expose the user privacy information without authorization, resulting in the disclosure of user privacy information. Work for the user, life caused a great scratch. How to protect the user's privacy information is a key problem in Web services under the premise of satisfying the user's functional requirements. At present, researchers at home and abroad focus on meeting the functional requirements of users and composition of services, but not enough on privacy protection. Aiming at the deficiency of current research work, this paper focuses on the privacy protection of users in Web services, and proposes a privacy protection service method based on ontology reasoning. The main work of this paper is as follows: (1) this paper proposes a privacy protection service method, which is used to solve the problem that the current Web service providers do not protect the privacy of users, and provides a neutral method for the privacy protection of users in Web services. Third party platform. (2) this paper constructs a privacy domain ontology. The privacy ontology is based on the privacy domain model and privacy domain knowledge proposed in this paper. It provides semantic support for privacy protection services. (3) this paper proposes a method to convert the privacy preference of user's natural language description into SWRL (Semantic Web RuleLanguage) rule, which provides inference rules for privacy protection service. (4) based on the above methods and theories, the prototype system of privacy protection service is designed and implemented in this paper, and two examples are given to prove the correctness and effectiveness of the proposed method.
【学位授予单位】：南京航空航天大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09;TP391.1
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