An improved compression technique for signatures based on learning with errors Shi Bai and Steven D. Galbraith Department of Mathematics, University of Auckland, New Zealand.

First Page		Document Content
Date: 2014-01-22 16:26:55 Cryptography Post-quantum cryptography Lattice-based cryptography Computational hardness assumptions Ring learning with errors Learning with errors Digital signature Hash function Multivariate random variable Normal distribution RSA Entropy		An improved compression technique for signatures based on learning with errors Shi Bai and Steven D. Galbraith Department of Mathematics, University of Auckland, New Zealand. Add to Reading List Source URL: eprint.iacr.org Download Document from Source Website File Size: 444,59 KB Share Document on Facebook

	Hash-based signatures Joost Rijneveld Radboud University, Nijmegen, The Netherlands Post-quantum cryptography DocID: 1xVpf - View Document
	Tenth International Conference on Post-Quantum Cryptography PQCrypto 2019 Chongqing, China, May 8–10, 2019 pqcrypto2019.org DocID: 1xVmD - View Document
	Implementing Post-Quantum Cryptography on the Cortex M4 Matthias Kannwischer, Joost Rijneveld, Peter Schwabe, and Ko Stoffelen Radboud University, Nijmegen, The Netherlands DocID: 1xVaG - View Document
	Practical Post-Quantum Cryptography for Trusted Computing Matthias J. Kannwischer, PhD Student Workshop on Trusted Computing and its Applications 25 January 2018 DocID: 1xTFq - View Document
	F R A U N H O F E R I N S T I T U T E F O R S E C U R E I N F O R M AT I O N T E C H N O L O G Y White Paper Practical Post-Quantum Cryptography DocID: 1vqNn - View Document