The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Lightweight Authenticated-Encryption Scheme for Internet of Things Based on Publish-Subscribe Communication
Open accessAbstract
The resource-constrained nature and large-scale adoption of Internet of Things (IoT) have a significant challenge for securing IoT applications. This necessitates a robust and lightweight security architecture and schemes as the existing traditional Internet security architecture and protocols require huge resources and lack of end-to-end security mechanism. In this research, a resource efficient end-to-end security scheme has been proposed by offloading computations and storage of security parameters to fog nodes in the vicinity. In addition, a symmetric-key payload encryption has been used to minimize the overhead of message communication in the resource-contested IoT environment. The analysis shows that the proposed scheme outperforms Transport Layer Security (TLS) in resource usage while it maintains equivalent authenticated end-to-end communication between communicating IoT nodes. The proposed end-to-end security scheme saves more communication bandwidth and incurs less overhead as compared to existing TLS-based security schemes. In particular, the proposed system uses less number of handshakes and achieves a decrease in the number of transmitted messages (approximately 184 bytes as compared to compared TSL message size of 332 bytes) for every handshake. Further, it has been demonstrated through experiments that the proposed security method incurs less overheads as compared to the TLS bandwidth consumption considering a single connection session during message subscription.
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Cites
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Self-citationThe Fog Computing Paradigm: Scenarios and Security Issues
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A smart home energy management system using IoT and big data analytics approach
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Research works printed but not linked: 2
- nolan, 2019, Authenticated Payload Encryption Scheme for Internet of Things Systems over the MQTT Protocol
- 2016, Top IoT Vulnerabilities
Cited by
Federated learning meets blockchain in edge computing: Opportunities and challenges
Nguyen, D. C., Ding, M., Pham, Q.-V., Pathirana, P. N., Le, L. B., Seneviratne, A., Li, J., Niyato, D., & Poor, H. V. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3072611 · Cited by 661
Metadata
- Authors
- Diro, A., Reda, H., Chilamkurti, N., Mahmood, A., Zaman, N., & Nam, Y.
- Affiliations
- La Trobe University (AU)
- Taylor's University (MY)
- Soonchunhyang University (KR)
- Venue
- IEEE Access
- Published
- 2020
- Volume
- 8
- Pages
- 60539-60551
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3013375325
- Cited by
- 130
- References
- 33
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 22 · 2023: 21 · 2022: 37 · 2021: 16 · 2020: 15
- FWCI
- 10.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- RMIT Research Repository (RMIT University Library) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Greater South Information System
- Funders
- Korea Institute for Advancement of Technology
- Korea Government (N0001791)
- HRD Program for ICT Convergence Smart Rehabilitation Industrial Education Program
- Soonchunhyang University Research Fund
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
- Keywords
- authenticated encryption, Internet of Things security, publish/subscribe, fog computing, resource-constrained devices, end-to-end security
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- Diro, A., Reda, H., Chilamkurti, N., Mahmood, A., Zaman, N., & Nam, Y. (2020). Lightweight Authenticated-Encryption Scheme for Internet of Things Based on Publish-Subscribe Communication. IEEE Access. https://doi.org/10.1109/access.2020.2983117