Abstract
The Estonian Tax and Customs Board (MTA) has identified that Estonia is losing over 220 million euros a year due to avoidance of value-added tax (VAT). The parliament proposed legislation that makes companies declare their purchase and sales invoices for automated risk analysis and fraud detection. The law was vetoed by the Estonian President on the grounds of confidentiality breach and unnecessary burden to companies. In this paper, we report on our collaboration with MTA to build a tax fraud detection system prototype that uses secure multi-party computation (SMC) to remove the companies’ concerns over confidentiality. We estimate that the prototype could process a month of Estonian VAT data in ten days running on 20 000 euros worth of hardware.
This work has received funding from the Estonian Research Council through grant IUT27-1, ERDF through EXCS, and European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement n 609611 (PRACTICE).
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References
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Bogdanov, D., Jõemets, M., Siim, S., Vaht, M. (2015). How the Estonian Tax and Customs Board Evaluated a Tax Fraud Detection System Based on Secure Multi-party Computation. In: Böhme, R., Okamoto, T. (eds) Financial Cryptography and Data Security. FC 2015. Lecture Notes in Computer Science(), vol 8975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47854-7_14
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DOI: https://doi.org/10.1007/978-3-662-47854-7_14
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