CAREER: Semantic Web-Interoperation versus Security

职业：语义 Web 互操作与安全性

• 批准号: 0237782
• 负责人: Csilla Farkas
• 金额: $ 40万
• 依托单位: University South Carolina Research Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0237782&HistoricalAwards=false
• 关键词: CAREER; Semantic; Web; Interoperation; versus

The focus of this project is to develop models and technologies for prevention of security threats via illegal inferences in semantically enhanced semistructured information. XML and RDF data has been increasingly used for storing and exchanging information, thus enabling Internet users to access and integrate large amounts of data intelligently. This large-scale data integration, especially when supported with ontologies, may pose significant security and privacy threats. Therefore, security methods and tools need to be developed to prevent security violations. To provide information assurance in the context of Semantic Web several issues - technological, managerial, and legal - need to be addressed. This project focuses mainly on technological issues to provide information confidentiality and privacy, and makes several novel contributions: (1) Web data that can express context-based and semantic requirements; (2) comprehensive study of the security implications for illegal inference capabilities on semistructured data; and (3) both defensive and offensive security models are considered in Semantic Web security. More information about the project is available on the project web site (http://www.cse.sc.edu/research/isl). In addition to theoretical research, the developed models and technologies will be implemented and tested on real data. The prototypes will be evaluated based on scalability, efficiency, and level of assurance. Broader impact of this project lies in providing data security on the Web and a wide range of Web applications, with a guarantee of information confidentiality. Research and educational activities are tied together to increase the security awareness of students and community. In addition, seminars and Web sites to increase cyber-security awareness of middle and high school students will be developed, aiming to reduce the number of cyber crimes exploiting juvenile users.

该项目的重点是开发模型和技术，以防止通过语义增强的半结构化信息中的非法推断而造成的安全威胁。 XML和RDF数据越来越多地用于存储和交换信息，从而使Internet用户能够智能地访问和集成大量数据。 这种大规模的数据集成，特别是在支持本体的情况下，可能会造成重大的安全和隐私威胁。 因此，需要开发安全方法和工具来防止安全违规。 为了在语义Web的背景下提供信息保证，需要解决几个问题-技术，管理和法律的。 该项目主要集中在技术问题，以提供信息的机密性和隐私，并作出了一些新的贡献：（1）Web数据，可以表达基于上下文和语义的要求;（2）全面研究的安全性的影响，非法推理能力的半结构化数据;（3）防御和攻击的安全模型被认为是在语义Web安全。关于该项目的更多信息可在项目网站上查阅（http：//www.cse.sc.edu/research/isl）。除了理论研究外，开发的模型和技术将在真实的数据上实施和测试。 原型将根据可扩展性、效率和保证级别进行评估。该项目的更广泛影响在于为Web和广泛的Web应用程序提供数据安全，并保证信息的机密性。 研究和教育活动结合在一起，以提高学生和社区的安全意识。此外，还将开发提高初中和高中学生网络安全意识的研讨会和网站，以减少利用青少年用户的网络犯罪数量。