Blockchain Mechanism and Symmetric Encryption in A Wireless Sensor Network.

Advanced Encryption Standard (AES) Internet of Things (IoT) Wireless Sensor Network (WSN) blockchain decentralized network

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
14 May 2020
Historique:
received: 15 03 2020
revised: 03 05 2020
accepted: 06 05 2020
entrez: 20 5 2020
pubmed: 20 5 2020
medline: 20 5 2020
Statut: epublish

Résumé

The Internet of Things (IoT) paradigm allows the connection and exchange of information between millions of smart devices. This paradigm grows and develops exponentially as do the risks and attacks on IoT infrastructures. Security, privacy, reliability, and autonomy are the most important requirements in IoT Systems. If these issues are not guaranteed, the IoT system could be susceptible to malicious users and malicious use. In centralized IoT systems, attacks and risks are greater, especially when data is transmitted between devices and shared with other organizations. To avoid these types of situations, this work presents a decentralized system that guarantees the autonomy and security of an IoT system. The proposed methodology helps to protect data integrity and availability based on the security advantages provided by blockchain and the use of cryptographic tools. The accuracy of the proposed methodology was measured on a temperature and humidity sensing IoT-based Wireless Sensor Network (WSN). The obtained results prove that the proposal fulfils the main requirements of an IoT system. It is autonomous, secure to share and send information between devices and users, has privacy, it is reliable, and the information is available in the infrastructure. Furthermore, this research demonstrates that the proposal is less susceptible to the most frequent attacks against IoT systems, such as linking attack, man in the middle, and Distributed Denial of Service (DDoS) attack.

Identifiants

pubmed: 32423025
pii: s20102798
doi: 10.3390/s20102798
pmc: PMC7287648
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Consejo Nacional de Ciencia y Tecnologia
ID : 927997

Références

Proc Natl Acad Sci U S A. 2017 Jan 3;114(1):19-26
pubmed: 28028211
IEEE J Biomed Health Inform. 2018 Jul;22(4):1299-1309
pubmed: 28682267
J Med Syst. 2018 Jun 28;42(8):141
pubmed: 29956058
Sensors (Basel). 2019 Jan 15;19(2):
pubmed: 30650612

Auteurs

Alma E Guerrero-Sanchez (AE)

Faculty of Engineering, Autonomous University of Queretaro, Querétaro 76017, Mexico.

Edgar A Rivas-Araiza (EA)

Faculty of Engineering, Autonomous University of Queretaro, Querétaro 76017, Mexico.

Jose Luis Gonzalez-Cordoba (JL)

Faculty of Engineering, Autonomous University of Queretaro, Querétaro 76017, Mexico.

Manuel Toledano-Ayala (M)

Faculty of Engineering, Autonomous University of Queretaro, Querétaro 76017, Mexico.

Andras Takacs (A)

Faculty of Engineering, Autonomous University of Queretaro, Querétaro 76017, Mexico.

Classifications MeSH