A Blockchain-Based Multi-Mobile Code-Driven Trust Mechanism for Detecting Internal Attacks in Internet of Things.

blockchain energy-efficiency internet of things multi-mobile code trust

Journal

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

Informations de publication

Date de publication:
22 Dec 2020
Historique:
received: 15 11 2020
revised: 16 12 2020
accepted: 16 12 2020
entrez: 30 12 2020
pubmed: 31 12 2020
medline: 31 12 2020
Statut: epublish

Résumé

A multitude of smart things and wirelessly connected Sensor Nodes (SNs) have pervasively facilitated the use of smart applications in every domain of life. Along with the bounties of smart things and applications, there are hazards of external and internal attacks. Unfortunately, mitigating internal attacks is quite challenging, where network lifespan (w.r.t. energy consumption at node level), latency, and scalability are the three main factors that influence the efficacy of security measures. Furthermore, most of the security measures provide centralized solutions, ignoring the decentralized nature of SN-powered Internet of Things (IoT) deployments. This paper presents an energy-efficient decentralized trust mechanism using a blockchain-based multi-mobile code-driven solution for detecting internal attacks in sensor node-powered IoT. The results validate the better performance of the proposed solution over existing solutions with 43.94% and 2.67% less message overhead in blackhole and greyhole attack scenarios, respectively. Similarly, the malicious node detection time is reduced by 20.35% and 11.35% in both blackhole and greyhole attacks. Both of these factors play a vital role in improving network lifetime.

Identifiants

pubmed: 33375153
pii: s21010023
doi: 10.3390/s21010023
pmc: PMC7792932
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Deanship of Scientific Research, King Saud University
ID : RGP-214

Références

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Auteurs

Noshina Tariq (N)

Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan.

Muhammad Asim (M)

Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan.

Farrukh Aslam Khan (FA)

Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh 11653, Saudi Arabia.

Thar Baker (T)

Department of Computer Science, University of Sharjah, Sharjah 27272, UAE.

Umair Khalid (U)

Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan.

Abdelouahid Derhab (A)

Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh 11653, Saudi Arabia.

Classifications MeSH