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Cited by 31Software-Defined Networks and 5GIoT and Edge/Fog ComputingNetwork Security and Intrusion Detection

Privacy-Preserving and Security in SDN-Based IoT: A Survey

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Ahmadvand, Hossein, Lal, Chhagan, Hemmati, Hadi, Sookhak, Mehdi, Conti, Mauro·2023·IEEE Access
DOI 10.1109/access.2023.3267764
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Abstract

In recent years, the use of Software Defined Networking (SDN) has increased due to various network management requirements. Using SDN in computer network applications has brought several benefits to users, including lower operational costs, better hardware management, flexibility, and centralized network deployment. On the other hand, the Internet of Things (IoT) is another rapidly growing technology. Distributed and dynamic infrastructures are two critical characteristics of IoT. These characteristics lead to some challenges while using SDN in IoT in terms of security and privacy. In this paper, we address security and privacy issues and solutions for SDN-based IoT systems. We analyze the techniques used for defense in previous works to achieve an acceptable level of security and privacy protection in SDN-based IoT systems. In the data plane, SDN-based IoT papers have considered hashing and encryption techniques, in the control plane, certificate authority and access control have been analyzed, and in the application plane, attack detection, and authentication have been discussed. We also provide a statistical analysis of the existing work. This analysis shows that researchers have focused on certain areas more than others in recent years. The final analysis also highlights issues that previous researchers have ignored.

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  • Ahmadvand et al. [5] discussed security and privacy issues and solutions of SDN-based IoT systems, analyzed defense technologies, and conducted statistical analysis of existing work.

    “Ahmadvand et al. [5] discussed the security and privacy issues and solutions of SDN based IoT systems, analyzed the technologies used for defense in previous work to achieve acceptable levels of security and privacy protection in SDN based IoT systems, and also conducted statistical analysis of existing work.”

    From A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends (2024) · cites this paper as [5]

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Cited by

Sorted by citations

Authors
Ahmadvand, H., Lal, C., Hemmati, H., Sookhak, M., & Conti, M.
Affiliations
  • University of Calgary (CA)
  • Delft University of Technology (NL)
  • Texas A&M University – Corpus Christi (US)
  • University of Padua (IT)
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2023
Volume
11
Pages
44772-44786
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2023.3267764
OpenAlex
W4366204865
Cited by
31
References
5
Citations by year
2026: 9 · 2025: 8 · 2024: 11 · 2023: 3
FWCI
3.45
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Access (publishedVersion, cc-by-nc-nd)
  • Padua Research Archive (University of Padova) (submittedVersion, cc-by-nc-nd)
  • Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Research Repository (Delft University of Technology) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
Keywords
software-defined networking, Internet of Things, privacy preservation, network security, data plane security, control plane security, certificate authority, access control, attack detection, authentication, encryption, hashing

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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