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<titleInfo><title>Practical asynchronous distributed key generation</title></titleInfo>


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<name type="personal">
  <namePart type="given">Sourav</namePart>
  <namePart type="family">Das</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Thomas</namePart>
  <namePart type="family">Yurek</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Zhuolun</namePart>
  <namePart type="family">Xiang</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Andrew</namePart>
  <namePart type="family">Miller</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Eleftherios</namePart>
  <namePart type="family">Kokoris Kogias</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">f5983044-d7ef-11ea-ac6d-fd1430a26d30</identifier></name>
<name type="personal">
  <namePart type="given">Ling</namePart>
  <namePart type="family">Ren</namePart>
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  <namePart>SP: Symposium on Security and Privacy</namePart>
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<abstract lang="eng">Distributed Key Generation (DKG) is a technique to bootstrap threshold cryptosystems without a trusted third party and is a building block to decentralized protocols such as randomness beacons, threshold signatures, and general multiparty computation. Until recently, DKG protocols have assumed the synchronous model and thus are vulnerable when their underlying network assumptions do not hold. The recent advancements in asynchronous DKG protocols are insufficient as they either have poor efficiency or limited functionality, resulting in a lack of concrete implementations. In this paper, we present a simple and concretely efficient asynchronous DKG (ADKG) protocol. In a network of n nodes, our ADKG protocol can tolerate up to t&lt;n/3 malicious nodes and have an expected O(κn3) communication cost, where κ is the security parameter. Our ADKG protocol produces a field element as the secret and is thus compatible with off-the-shelf threshold cryptosystems. We implement our ADKG protocol and evaluate it using a network of up to 128 nodes in geographically distributed AWS instances. Our evaluation shows that our protocol takes as low as 3 and 9.5 seconds to terminate for 32 and 64 nodes, respectively. Also, each node sends only 0.7 Megabytes and 2.9 Megabytes of data during the two experiments, respectively.</abstract>

<originInfo><publisher>Institute of Electrical and Electronics Engineers</publisher><dateIssued encoding="w3cdtf">2022</dateIssued><place><placeTerm type="text">San Francisco, CA, United States</placeTerm></place>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>2022 IEEE Symposium on Security and Privacy</title></titleInfo>
  <identifier type="eIssn">2375-1207</identifier><identifier type="doi">10.1109/sp46214.2022.9833584</identifier>
<part><extent unit="pages">2518-2534</extent>
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<ama>Das S, Yurek T, Xiang Z, Miller A, Kokoris Kogias E, Ren L. Practical asynchronous distributed key generation. In: &lt;i&gt;2022 IEEE Symposium on Security and Privacy&lt;/i&gt;. Institute of Electrical and Electronics Engineers; 2022:2518-2534. doi:&lt;a href=&quot;https://doi.org/10.1109/sp46214.2022.9833584&quot;&gt;10.1109/sp46214.2022.9833584&lt;/a&gt;</ama>
<chicago>Das, Sourav, Thomas Yurek, Zhuolun Xiang, Andrew Miller, Eleftherios Kokoris Kogias, and Ling Ren. “Practical Asynchronous Distributed Key Generation.” In &lt;i&gt;2022 IEEE Symposium on Security and Privacy&lt;/i&gt;, 2518–34. Institute of Electrical and Electronics Engineers, 2022. &lt;a href=&quot;https://doi.org/10.1109/sp46214.2022.9833584&quot;&gt;https://doi.org/10.1109/sp46214.2022.9833584&lt;/a&gt;.</chicago>
<mla>Das, Sourav, et al. “Practical Asynchronous Distributed Key Generation.” &lt;i&gt;2022 IEEE Symposium on Security and Privacy&lt;/i&gt;, Institute of Electrical and Electronics Engineers, 2022, pp. 2518–34, doi:&lt;a href=&quot;https://doi.org/10.1109/sp46214.2022.9833584&quot;&gt;10.1109/sp46214.2022.9833584&lt;/a&gt;.</mla>
<ieee>S. Das, T. Yurek, Z. Xiang, A. Miller, E. Kokoris Kogias, and L. Ren, “Practical asynchronous distributed key generation,” in &lt;i&gt;2022 IEEE Symposium on Security and Privacy&lt;/i&gt;, San Francisco, CA, United States, 2022, pp. 2518–2534.</ieee>
<apa>Das, S., Yurek, T., Xiang, Z., Miller, A., Kokoris Kogias, E., &amp;#38; Ren, L. (2022). Practical asynchronous distributed key generation. In &lt;i&gt;2022 IEEE Symposium on Security and Privacy&lt;/i&gt; (pp. 2518–2534). San Francisco, CA, United States: Institute of Electrical and Electronics Engineers. &lt;a href=&quot;https://doi.org/10.1109/sp46214.2022.9833584&quot;&gt;https://doi.org/10.1109/sp46214.2022.9833584&lt;/a&gt;</apa>
<short>S. Das, T. Yurek, Z. Xiang, A. Miller, E. Kokoris Kogias, L. Ren, in:, 2022 IEEE Symposium on Security and Privacy, Institute of Electrical and Electronics Engineers, 2022, pp. 2518–2534.</short>
<ista>Das S, Yurek T, Xiang Z, Miller A, Kokoris Kogias E, Ren L. 2022. Practical asynchronous distributed key generation. 2022 IEEE Symposium on Security and Privacy. SP: Symposium on Security and Privacy, 2518–2534.</ista>
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