سودانيان يفوزان بجائزة أفضل ورقة علمية في مؤتمر فيتات 2009 وBest Paper Award in Fitat2009

Quote: IP2Location-based technique for limiting background knowledge in privacy preservation Abstract The field of Geomatics (Geographical health informatics which includes geographical information systems (GIS), GIS modeling, and GIS-related technologies (remote sensing and the global positioning system) has emerged globally. Geoinformatics plays an important role in the research, study and control of global outbreaks like H1N1 influenza. However, there is a major issue in sharing such critical data as medical data or even if in the form of a digital map, which gives some background knowledge that enable an adversary to estimate ones sensitive attributes in some cases[9]. This may put an individual’s privacy at risk. This problem is further complicated by the fact that, in addition to the published data textual, tabular or map, adversary may also has access to other resources (e.g., voting lists, public records and social networks relating individuals), which known as Background knowledge (called also auxiliary knowledge). In this paper, we employ an IP as a distance measure from which we can estimate the adversary’s background knowledge. Obviously, people from the same location tend to have more background knowledge than people from other locations. For instance, users can submit queries to web based medical system, different answers will be returned according to their roles, locations, and the query time. Our model has also considered balancing privacy and data utility. [9] Brownstein JS, Cassa CA, Mandl KD. No place to hide -reverse identification of patients from published maps. N Engl J Med 2006;355:1741–2