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
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

Auteurs

Rinki Rani (R)

School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), New Delhi 110067, India.

Sushil Kumar (S)

School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), New Delhi 110067, India.

Omprakash Kaiwartya (O)

Department of Computer Science, Clifton Campus, Nottingham Trent University, Nottingham NG11 8NS, UK.

Ahmad M Khasawneh (AM)

Department of Mobile Computing, Amman Arab University, Amman 11953, Jordan.

Jaime Lloret (J)

Integrated Management Coastal Research Institute, Universitat Politecnica de Valencia, 46022 Valencia, Spain.
School of Computing and Digital Technologies, Staffordshire University, Stoke ST4 2DE, UK.

Mahmoud Ahmad Al-Khasawneh (MA)

Faculty of Computer & Information Technology, Al-Madinah International University, Kuala Lumpur 57100, Malaysia.

Marwan Mahmoud (M)

Department of Computer and Information Technology, Faculty of Applied Studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Alaa Abdulsalm Alarood (AA)

College of Computer Science and Engineering, University of Jeddah, Jeddah 21959, Saudi Arabia.

Classifications MeSH