Reminisce for Securing Private-Keys in Public

Shlomi Dolev; Komal Kumari; Sharad Mehrotra; Baruch Schieber; Shantanu Sharma

doi:10.1007/978-3-031-76934-4_11

Reminisce for Securing Private-Keys in Public

Shlomi Dolev
, Komal Kumari
, Sharad Mehrotra
, Baruch Schieber
, Shantanu Sharma

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The private key associated with a blockchain is the sole means of linking a cryptocurrency asset to its owner, and any loss or compromise of this key could result in significant consequences. Generally, crypto-wallets suggest a private key created from a string of words, which can be stored in a private record such as a piece of paper. The fact that the private record holds the secret words and can leak the private key poses security concerns. In addition, private records are susceptible to the risk of getting lost or destroyed, resulting in loss of assets. Furthermore, clients lack complete control over generating their private key, as the wallet itself creates it. Our approach enables clients to securely generate and manage their own private keys, minimizing the risk of key loss. We developed an open-source technique allowing clients to employ memorized secrets to store and retrieve their private keys. We utilize Bloom filters using hash functions, such as SHA-256, to store and retrieve the private key from the Bloom filter.

Original language	English (US)
Title of host publication	Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings
Editors	Shlomi Dolev, Michael Elhadad, Mirosław Kutyłowski, Giuseppe Persiano
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	168-177
Number of pages	10
ISBN (Print)	9783031769337
DOIs	https://doi.org/10.1007/978-3-031-76934-4_11
State	Published - 2025
Event	8th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2024 - Be'er Sheva, Israel Duration: Dec 19 2024 → Dec 20 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	15349 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2024
Country/Territory	Israel
City	Be'er Sheva
Period	12/19/24 → 12/20/24

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Keywords

Bloom filter
Crypto-wallets
bitcoin
blockchain
crypto-currency
memorized secrets.
public cloud

Access to Document

10.1007/978-3-031-76934-4_11

Cite this

Dolev, S., Kumari, K., Mehrotra, S., Schieber, B., & Sharma, S. (2025). Reminisce for Securing Private-Keys in Public. In S. Dolev, M. Elhadad, M. Kutyłowski, & G. Persiano (Eds.), Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings (pp. 168-177). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15349 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-76934-4_11

Dolev, Shlomi ; Kumari, Komal ; Mehrotra, Sharad et al. / Reminisce for Securing Private-Keys in Public. Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings. editor / Shlomi Dolev ; Michael Elhadad ; Mirosław Kutyłowski ; Giuseppe Persiano. Springer Science and Business Media Deutschland GmbH, 2025. pp. 168-177 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The private key associated with a blockchain is the sole means of linking a cryptocurrency asset to its owner, and any loss or compromise of this key could result in significant consequences. Generally, crypto-wallets suggest a private key created from a string of words, which can be stored in a private record such as a piece of paper. The fact that the private record holds the secret words and can leak the private key poses security concerns. In addition, private records are susceptible to the risk of getting lost or destroyed, resulting in loss of assets. Furthermore, clients lack complete control over generating their private key, as the wallet itself creates it. Our approach enables clients to securely generate and manage their own private keys, minimizing the risk of key loss. We developed an open-source technique allowing clients to employ memorized secrets to store and retrieve their private keys. We utilize Bloom filters using hash functions, such as SHA-256, to store and retrieve the private key from the Bloom filter.",

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author = "Shlomi Dolev and Komal Kumari and Sharad Mehrotra and Baruch Schieber and Shantanu Sharma",

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Dolev, S, Kumari, K, Mehrotra, S, Schieber, B & Sharma, S 2025, Reminisce for Securing Private-Keys in Public. in S Dolev, M Elhadad, M Kutyłowski & G Persiano (eds), Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 15349 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 168-177, 8th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2024, Be'er Sheva, Israel, 12/19/24. https://doi.org/10.1007/978-3-031-76934-4_11

Reminisce for Securing Private-Keys in Public. / Dolev, Shlomi; Kumari, Komal; Mehrotra, Sharad et al.
Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings. ed. / Shlomi Dolev; Michael Elhadad; Mirosław Kutyłowski; Giuseppe Persiano. Springer Science and Business Media Deutschland GmbH, 2025. p. 168-177 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15349 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Dolev S, Kumari K, Mehrotra S, Schieber B , Sharma S. Reminisce for Securing Private-Keys in Public. In Dolev S, Elhadad M, Kutyłowski M, Persiano G, editors, Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 168-177. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-76934-4_11