Towards Green Computing Oriented Security: A Lightweight Postquantum Signature for IoE.
Internet of Things
energy efficiency
green computing
lightweight security
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
08 Mar 2021
08 Mar 2021
Historique:
received:
05
01
2021
revised:
18
02
2021
accepted:
01
03
2021
entrez:
3
4
2021
pubmed:
4
4
2021
medline:
4
4
2021
Statut:
epublish
Résumé
Postquantum cryptography for elevating security against attacks by quantum computers in the Internet of Everything (IoE) is still in its infancy. Most postquantum based cryptosystems have longer keys and signature sizes and require more computations that span several orders of magnitude in energy consumption and computation time, hence the sizes of the keys and signature are considered as another aspect of security by green design. To address these issues, the security solutions should migrate to the advanced and potent methods for protection against quantum attacks and offer energy efficient and faster cryptocomputations. In this context, a novel security framework Lightweight Postquantum ID-based Signature (LPQS) for secure communication in the IoE environment is presented. The proposed LPQS framework incorporates a supersingular isogeny curve to present a digital signature with small key sizes which is quantum-resistant. To reduce the size of the keys, compressed curves are used and the validation of the signature depends on the commutative property of the curves. The unforgeability of LPQS under an adaptively chosen message attack is proved. Security analysis and the experimental validation of LPQS are performed under a realistic software simulation environment to assess its lightweight performance considering embedded nodes. It is evident that the size of keys and the signature of LPQS is smaller than that of existing signature-based postquantum security techniques for IoE. It is robust in the postquantum environment and efficient in terms of energy and computations.
Identifiants
pubmed: 33800227
pii: s21051883
doi: 10.3390/s21051883
pmc: PMC7962526
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : This project was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University. Jeddah. under grant No. (DF-457-156-1441).
ID : DF-457-156-1441
Références
Science. 2016 Mar 4;351(6277):1068-70
pubmed: 26941315
Sensors (Basel). 2018 Jan 16;18(1):
pubmed: 29337921
Sensors (Basel). 2020 Apr 15;20(8):
pubmed: 32326650