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AuthorDin, Ikram Ud
AuthorBano, Aniqa
AuthorAwan, Kamran Ahmad
AuthorAlmogren, Ahmad
AuthorAltameem, Ayman
AuthorGuizani, Mohsen
Available date2022-11-13T09:02:23Z
Publication Date2021-01-01
Publication NameIEEE Internet of Things Journal
Identifierhttp://dx.doi.org/10.1109/JIOT.2021.3081422
CitationDin, I. U., Bano, A., Awan, K. A., Almogren, A., Altameem, A., & Guizani, M. (2021). LightTrust: lightweight trust management for edge devices in industrial internet of things. IEEE Internet of Things Journal.‏
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85107222621&origin=inward
URIhttp://hdl.handle.net/10576/36270
AbstractThe phenomenal increase in the usage of Internet promotes the quality of trust in the scope of Internet of Things (IoT). Trust is beneficial in the provision of an effective, reliable, scalable, and trustworthy environment to users of the IoT network, where they can share their private information with each other on a secure communication platform. For successful communications among the Internet users, trust is an important factor to provide them with private infrastructures and secure environments, where exchanging data among devices becomes more easy and trustworthy. Therefore, trust management is a backbone for the successful and secure transmission of data among various nodes in a large-scale IoT network. To overcome the security issues, latency, and risk of malicious activities, a lightweight approach is proposed for those nodes in industrial IoT that cannot maintain security. LightTrust utilizes a centralized trust agent to generate and manage trust certificates that allow nodes to communicate for a specific time without performing trust computations. Trust agents also maintain a trust database to store the current trust degree for the aggregation/propagation purposes. Trust between two nodes is developed by direct observations in terms of compatibility, cooperativeness, and delivery ratio, whereas recommendations are used to develop trust in the context of indirect observations, i.e., experience or previous knowledge. The comparative simulations of the proposed and existing approaches are also performed whereby the results illustrate that the proposed approach efficiently maintains resilience and robust environments.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectDatabases
Digital Revolution
Edge Nodes
IIoT
Industrial Internet of Things
Internet of Things
Potential Attacks.
Privacy
Protocols
Reliability
Robust Security
Security
Trust management
Trust Management
TitleLightTrust: Lightweight Trust Management for Edge Devices in Industrial Internet of Things
TypeArticle
dc.accessType Abstract Only


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