Digital Signatures and Signcryption Schemes on Embedded Devices: a Trade-off between Computation and Storage

© 2018 Association for Computing Machinery. This paper targets the efficient implementation of digital signatures and signcryption schemes on typical internet-of- things (IoT) devices, i.e. embedded processors with con- strained computation power and storage. Both signcryption schemes (providing digital signatures and encryption simultaneously) and digital signatures rely on computation- intensive public-key cryptography. When the number of signatures or encrypted messages the device needs to generate after deployment is limited, a trade-o can be made between performing the entire computation on the embedded device or moving part of the computation to a precomputation phase. The latter results in the storage of the precomputed values in the memory of the processor. We examine this trade-o on a health sensor platform and we additionally apply storage encryption, resulting in five implementation variants of the considered schemes.

ISBN:9781450357616

Publication year:2018

BOF-keylabel:yes

IOF-keylabel:yes

Authors from:Higher Education