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Proofs of Communication and Its Application for Fighting Spam

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SOFSEM 2008: Theory and Practice of Computer Science (SOFSEM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4910))

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Abstract

In this paper we present a communicational proof-of-work – a new tool that can be used, among others, for filtering messages and limiting spam. Our idea can be regarded as an analogue of regular proofs-of-work introduced by Dwork and Naor. The idea presented in our paper is as follows: the prover has to provide a convincing evidence that he had communicated with other, randomly chosen entity. This approach is essentially different from previous proofs-of-work, because fulfilling this requirement does not depend on resources owned by the prover (e.g. sender) only. Thanks to this, even if the adversary (e.g. spammer) has an access to much more efficient computers, he does not have any important advantage over regular, honest users of the system. We also demonstrate some other applications of the presented idea as well as some extensions based on its combination with regular proofs-of-work. Together with algorithms we also briefly describe a proof of our concept i.e. working implementation. We present some experimental data and statistics obtained during tests of our application.

Partially supported by EU within the 6th Framework Programme under contract 001907 (DELIS).

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References

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Viliam Geffert Juhani Karhumäki Alberto Bertoni Bart Preneel Pavol Návrat Mária Bieliková

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© 2008 Springer-Verlag Berlin Heidelberg

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Klonowski, M., Strumiński, T. (2008). Proofs of Communication and Its Application for Fighting Spam. In: Geffert, V., Karhumäki, J., Bertoni, A., Preneel, B., Návrat, P., Bieliková, M. (eds) SOFSEM 2008: Theory and Practice of Computer Science. SOFSEM 2008. Lecture Notes in Computer Science, vol 4910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77566-9_62

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  • DOI: https://doi.org/10.1007/978-3-540-77566-9_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77565-2

  • Online ISBN: 978-3-540-77566-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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