Sequential Aggregate Signatures from Trapdoor Permutations

By Anna Lysyanskaya, Silvio Micali, Leonid Reyzin, Hovav Shacham. International Conference on the Theory and Application of Cryptographic Techniques, 2004

349 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Pharmacy

View Paper: https://www.semanticscholar.org/paper/3381670ce0eaca8ca85647c86f5365afa3408352

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Dan Boneh
2. David Pointcheval
3. Gregory Neven
4. Mihir Bellare
5. Manu Drijvers
6. Brent Waters
7. Andrew Poelstra
8. Gregory Maxwell

In Computational Theory and Mathematics

1. Dan Boneh
2. Gregory Neven
3. Manu Drijvers
4. Brent Waters
5. Mihir Bellare
6. David Pointcheval
7. Gregory Maxwell
8. Pieter Wuille

In Pharmacy

1. Mihir Bellare
2. David Pointcheval
3. Olivier Sanders
4. Gregory Neven

Citations in the corpus

• Compact Multi-Signatures for Smaller Blockchains (2018, background): “Sequential aggregate signatures [33, 32, 41, 14, 23] are a variant where signers take turns adding their own signature onto the aggregate.”
• Short Randomizable Signatures (2016, methodology): “Sequential aggregate signature [37] is a special type of aggregate signature (introduced by Boneh et al.”
• Simple Schnorr multi-signatures with applications to Bitcoin (2019, background): “IAS schemes are more general than multi-signature schemes, but less flexible than non-interactive aggregate signatures [BGLS03, BNN07] and sequential aggregate signatures [LMRS04].”
• Multi-signatures in the plain public-Key model and a general forking lemma (2006, methodology): “Another potential route to multi-signatures is via sequential aggregate signatures [30].”