A generic cyber immune framework for anomaly detection using artificial immune systems

Bejoy, B. J.; Raju, G.; Swain, Debabrata; Acharya, Biswaranjan; Hu, Yu‐Chen

doi:10.1016/j.asoc.2022.109680

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…The majority of previous works on immune-inspired IDSs target computer networks [ 192 , 193 ], IoT devices [ 187 ], or CPSs [ 188 ]. In additions, several works apply immune principles to IDSs applicable to WSNs, such as the negative selection-based IDS for WSNs named WSN-NSA [ 183 ], the multi-level IDS for WSNs [ 73 ], or Co-FAIS [ 135 ], a danger-theory-based IDS that utilizes fuzzified network traffic in WSNs.…”

Section: Literature Review On Immune-inspired Approachesmentioning

confidence: 99%

A Review on Immune-Inspired Node Fault Detection in Wireless Sensor Networks with a Focus on the Danger Theory

Widhalm

Goeschka

Kästner

2023

Sensors

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The use of fault detection and tolerance measures in wireless sensor networks is inevitable to ensure the reliability of the data sources. In this context, immune-inspired concepts offer suitable characteristics for developing lightweight fault detection systems, and previous works have shown promising results. In this article, we provide a literature review of immune-inspired fault detection approaches in sensor networks proposed in the last two decades. We discuss the unique properties of the human immune system and how the found approaches exploit them. With the information from the literature review extended with the findings of our previous works, we discuss the limitations of current approaches and consequent future research directions. We have found that immune-inspired techniques are well suited for lightweight fault detection, but there are still open questions concerning the effective and efficient use of those in sensor networks.

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