A Systematic Mapping Study on SDN Controllers for Enhancing Security in IoT Networks
August 02, 2024 Β· Declared Dead Β· π EUROMICRO Conference on Software Engineering and Advanced Applications
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Authors
Charles Oredola, Adnan Ashraf
arXiv ID
2408.01303
Category
cs.CR: Cryptography & Security
Cross-listed
cs.NI,
cs.SE
Citations
1
Venue
EUROMICRO Conference on Software Engineering and Advanced Applications
Last Checked
4 months ago
Abstract
Context: The increase in Internet of Things (IoT) devices gives rise to an increase in deceptive manipulations by malicious actors. These actors should be prevented from targeting the IoT networks. Cybersecurity threats have evolved and become dynamically sophisticated, such that they could exploit any vulnerability found in IoT networks. However, with the introduction of the Software Defined Network (SDN) in the IoT networks as the central monitoring unit, IoT networks are less vulnerable and less prone to threats. %Although, the SDN itself is vulnerable to several threats. Objective: To present a comprehensive and unbiased overview of the state-of-the-art on IoT networks security enhancement using SDN controllers. Method: We review the current body of knowledge on enhancing the security of IoT networks using SDN with a Systematic Mapping Study (SMS) following the established guidelines. Results: The SMS result comprises 33 primary studies analyzed against four major research questions. The SMS highlights current research trends and identifies gaps in the SDN-IoT network security. Conclusion: We conclude that the SDN controller architecture commonly used for securing IoT networks is the centralized controller architecture. However, this architecture is not without its limitations. Additionally, the predominant technique utilized for risk mitigation is machine learning.
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