Trading sugar beet quotas : secure multiparty computation in practice

Information is a valuable resource in modern society and confidentiality is thus an important issue. However, it is often possible to obtain significant added value by combining information from different sources. A fascinating question is whether it might be possible to obtain the advantages of sharing information without the costs of unwanted leakages. Perhaps surprisingly, the answer is yes, and the solution involves a combination of computer science, mathematics and information economics. We present the first real application of techniques from the Danish research project Secure Information Management and Processing (SIMAP), in which the authors have been involved.