An analytical Survey of Attack Scenario Parameters on the Techniques of Attack Mitigation in WSN

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Abstract

Wireless sensor networks (WSN) were cataloged as one of the most important emerging technologies of the last century and are considered the basis of the Internet of Things paradigm. However, an undeniable disadvantage of WSN is that the resources available for these types of networks, such as processing capacity, memory, and battery, are usually in short supply. This limitation in resources implements security mechanisms a difficult task. This work reviews 93 recent proposals in which different solutions were formulated for the different attacks in WSN in the network layer; in total, 139 references were considered. According to the literature, these attacks are mainly Sybil, wormhole, sinkhole, and selective forwarding. The main goal of this contribution is to present the evaluation metrics used in the state of the art to mitigate the Sybil, wormhole, sinkhole, and selective forwarding attacks and show the network topologies used in each of these proposals.

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Ávila, K., Sanmartin, P., Jabba, D., & Gómez, J. (2022). An analytical Survey of Attack Scenario Parameters on the Techniques of Attack Mitigation in WSN. Wireless Personal Communications, 122(4), 3687–3718. https://doi.org/10.1007/s11277-021-09107-6

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