Privacy protection in government mashups
نویسندگان
چکیده
The Web 2.0 technologies allow dynamic content creation using syndications or mashups, extracted from diverse data sources, including government enterprise data. As a primary source of citizen data, the US government has the obligation not only to make public data available for citizen access as stated in the Freedom of Information Act, but also to protect the privacy of individual citizen’s records as stated in the Privacy Act. In a mashup, a third party mashup Web application provider requests the individual’s data from the government agencies through Web services. Since the data is public data and not necessarily provided through electronic interactions, individual citizens may not be able to express fine-grained privacy policies on how data may be used. In addition, the government agency’s privacy policy is very coarse grained, and the relative sensitivity of individual information is not considered. We discuss the opportunities and issues associated with the programmable web and mashups, provide a Privacy Protection Model for Mashup Applications, using a mashup related multi-dimensional privacy protection space and present policy recommendations to complement the technological solutions. The model and recommendations include deployment of a personal privacy policy network, a distributed system over which citizens can publish their individual privacy policies. These policies are accessible by all web service providers to be consulted in real time by data providers including government agencies for the purposes of automated privacy protection reasoning concerning data release.
منابع مشابه
Mashup: a New Way of Providing Web Mapping/gis Services
Recent development of Google Map, Yahoo! Map and MapQuest APIs have pushed map mashups almost to the top among other types of mashups such as news mashups, search and shopping mashups, and video and photo mashups. However, map mashups should not reply on these open data sources and services only. Developing a mashup in general faces a number of challenges. These include: 1) the difficulties in ...
متن کاملAnalyzing Tools and Algorithms for Privacy Protection and Data Security in Social Networks
The purpose of this research, is to study factors influencing privacy concerns about data security and protection on social network sites and its’ influence on self-disclosure. 100 articles about privacy protection, data security, information disclosure and Information leakage on social networks were studied. Models and algorithms types and their repetition in articles have been distinguished a...
متن کاملSensitivity Level-Based Citizen Personal Information Model for Privacy Protection
Citizens’ privacy concerns have become a major barrier to their acceptance of e-government services, and the question of how to address these privacy issues effectively is increasingly important as government pushes service delivery online. Good protection of citizens’ privacy will contribute significantly to the success of e-government services. Therefore, it is highly desirable to take into a...
متن کاملA Privacy Preference Model for Pervasive Computing
Widespread acceptance of e-government and m-government (and for that matter pervasive-Government) services will only take place when citizens are satisfied that personal data is stored, transmitted and processed with respect to their privacy. We compare and contrast data protection regimes found around the World and suggest that these have directly influenced the uptake of existing private-sect...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Information Polity
دوره 14 شماره
صفحات -
تاریخ انتشار 2009