【摘要】：當前互聯(lián)網中的Web服務提供方為用戶提供了功能強大、多樣化的服務，方便了人們的工作、生活。用戶在享受便利服務的同時，需要向Web服務提供方釋放一些個人隱私信息，用以支撐服務的執(zhí)行。由于面向服務環(huán)境的自治、開放等特點，服務的提供方獲得用戶隱私信息后，可能會未經授權訪問、操作、暴露它們，，造成用戶隱私信息的泄露。給用戶工作、生活造成極大困撓。 如何在滿足用戶功能性需求的前提下，保護用戶的隱私信息是Web服務中隱私保護的一個關鍵問題。當前國內外研究人員對Web服務的研究方向集中在滿足用戶功能性需求以及服務組合方面，對于用戶隱私保護則考慮不足。針對當前研究工作的不足，本文圍繞Web服務中用戶的隱私保護展開研究，提出了一種基于本體推理的隱私保護服務方法。本文主要工作如下： （1）本文提出了一個隱私保護服務方法，用于解決當前Web服務提供方對用戶隱私保護不力的問題，為Web服務中用戶的隱私保護提供了一個中立的、第三方的平臺。 （2）本文構建了一個隱私領域本體。該隱私本體基于本文提出的隱私領域模型以及隱私領域知識構建而成，為隱私保護服務提供了隱私領域的語義支持。 （3）本文提出了一種將用戶自然語言描述的隱私偏好形式化成SWRL（Semantic Web RuleLanguage）規(guī)則的方法，為隱私保護服務提供了推理規(guī)則。 （4）基于以上方法和理論，本文設計并實現(xiàn)了隱私保護服務的原型系統(tǒng)，并通過兩個實例證明了本文所提方法的正確性和有效性。
[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.
【學位授予單位】：南京航空航天大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP393.09;TP391.1

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本文編號：2254511