License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.Tokenomics.2020.12
URN: urn:nbn:de:0030-drops-135347
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Rai, Shishir ; Hood, Kendric ; Nesterenko, Mikhail ; Sharma, Gokarna

Blockguard: Adaptive Blockchain Security (Short Paper)

OASIcs-Tokenomics-2020-12.pdf (0.3 MB)


We change the security of blockchain transactions by varying the size of consensus committees. To improve performance, such committees operate concurrently. We present two algorithms that allow adaptive security by forming concurrent variable size consensus committees on demand. One is based on a single joint blockchain, the other is based on separate sharded blockchains. For in-committee consensus, we implement synchronous Byzantine fault tolerance algorithm (BFT), asynchronous BFT and proof-of-work consensus. We evaluate the performance of our adaptive security algorithms.

BibTeX - Entry

  author =	{Shishir Rai and Kendric Hood and Mikhail Nesterenko and Gokarna Sharma},
  title =	{{Blockguard: Adaptive Blockchain Security}},
  booktitle =	{2nd International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2020)},
  pages =	{12:1--12:5},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-157-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{82},
  editor =	{Emmanuelle Anceaume and Christophe Bisi\`{e}re and Matthieu Bouvard and Quentin Bramas and Catherine Casamatta},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-135347},
  doi =		{10.4230/OASIcs.Tokenomics.2020.12},
  annote =	{Keywords: Blockchain, Consensus, Security, Distributed algorithms}

Keywords: Blockchain, Consensus, Security, Distributed algorithms
Collection: 2nd International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2020)
Issue Date: 2021
Date of publication: 02.02.2021
Supplementary Material: The source code is available on GitHub at

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