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How to Choose Its Parents in the Tangle

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Networked Systems (NETYS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11704))

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Abstract

The Tangle is a data structure mainly used to store transactions in the IOTA cryptocurrency. It has similarities with the blockchain structure of Bitcoin but in the Tangle, a block contains only one transaction and has not one, but two parents. The security and the stability of this distributed data structure is highly dependent on the algorithm used to select the parents of a new block.

Previous work showed that the current parents selection algorithms are insecure, not stable or have low performances. And we propose a new algorithm that combines all these properties.

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Notes

  1. 1.

    A third one is briefly presented but is actually just a variation of the MCMC that we present here.

  2. 2.

    Observe here that the computational power used by the honest agents is not the same as the computational power of the honest agent. Indeed, the former could be much lower than the latter.

  3. 3.

    This can easily be generalized to the case where each site has k parents, by dividing by k instead of 2 in Eq. (1).

References

  1. Bramas, Q.: The Stability and the Security of the Tangle. Working paper or preprint, April 2018. https://hal.archives-ouvertes.fr/hal-01716111

  2. Gal, A.: Algorithm for calculating cumulative weight (2018). https://github.com/alongalky/iota-docs/blob/master/cumulative.md

  3. Popov, S.: The Tangle. White paper (2016). https://iota.org/IOTA_Whitepaper.pdf

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Correspondence to Quentin Bramas .

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Attias, V., Bramas, Q. (2019). How to Choose Its Parents in the Tangle. In: Atig, M., Schwarzmann, A. (eds) Networked Systems. NETYS 2019. Lecture Notes in Computer Science(), vol 11704. Springer, Cham. https://doi.org/10.1007/978-3-030-31277-0_18

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  • DOI: https://doi.org/10.1007/978-3-030-31277-0_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31276-3

  • Online ISBN: 978-3-030-31277-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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