Securing Wireless Sensor Networks, Types of Attacks, and Detection/Prevention Techniques, An Educational Perspective

Tuka Kareem Jebur

Abstract


Wireless sensor networks (WSNs) are gaining popularity in a variety of applications, including smart homes, industrial facilities, and environmental monitoring systems. However, using WSNs exposes them to a variety of attacks that might have major effects, such as data loss, privacy breaches, and safety issues. As a result, understanding the sorts of threats and detection/prevention strategies in WSNs is critical to ensuring their security, especially from an educational perspective. We present an overview of the sorts of attacks that can occur in WSNs, including denial of service attacks, spoofing attacks, jamming attacks, physical assaults, and node compromise attacks. We also examine encryption, authentication and authorization procedures, intrusion detection systems, and physical security measures as methods for detecting and blocking attacks in WSNs. We examine the benefits and drawbacks of each strategy and give case studies to show their efficacy. Finally, we propose future research directions, such as the development of more effective intrusion detection systems and the enhancement of physical security measures. We can assure the security and reliability of WSNs in diverse applications by knowing the types of attacks and detection/prevention mechanisms.

Keywords


Authentication; Authorization; Detection techniques; Cryptography; Intrusion detection systems; Physical security; Prevention measures; Security; Wireless sensor networks (WANs)

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References


Ahmad, R., Wazirali, R., and Abu-Ain, T. (2022). Machine learning for wireless sensor networks security: An overview of challenges and issues. Sensors, 22(13), 1-5.

Akram, J., Munawar, H. S., Kouzani, A. Z., and Mahmud, M. P. (2022). Using adaptive sensors for optimised target coverage in wireless sensor networks. Sensors, 22(3), 1-23.

Evangelakos, E. A., Kandris, D., Rountos, D., Tselikis, G., and Anastasiadis, E. (2022). Energy sustainability in wireless sensor networks: An analytical survey. Journal of Low Power Electronics and Applications, 12(4), 1- 65.

Ganesh, D. E. (2022). Analysis of wireless sensor networks through secure routing protocols using directed diffusion methods. International Journal of Wireless Network Security, 7(1), 28-35.

Gulati, K., Boddu, R. S. K., Kapila, D., Bangare, S. L., Chandnani, N., and Saravanan, G. (2022). A review paper on wireless sensor network techniques in internet of things (IoT). Materials Today: Proceedings, 51, 161-165.

Hrovatin, N., Tošić, A., Mrissa, M., and Kavšek, B. (2022). Privacy-preserving data mining on blockchain-based WSNs. Applied Sciences, 12(11), 1-18.

Khalaf, O. I., Romero, C. A. T., Hassan, S., and Iqbal, M. T. (2022). Mitigating hotspot issues in heterogeneous wireless sensor networks. Journal of Sensors, 2022, 1-14.

Lakshmanna, K., Subramani, N., Alotaibi, Y., Alghamdi, S., Khalafand, O. I., and Nanda, A. K. (2022). Improved metaheuristic-driven energy-aware cluster-based routing scheme for IoT-assisted wireless sensor networks. Sustainability, 14(13), 1-19.

Lăzăroiu, G., Andronie, M., Iatagan, M., Geamănu, M., Ștefănescu, R., and Dijmărescu, I. (2022). Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of manufacturing things. ISPRS International Journal of Geo-Information, 11(5), 1-26.

Lilhore, U. K., Khalaf, O. I., Simaiya, S., Tavera Romero, C. A., Abdulsahib, G. M., and Kumar, D. (2022). A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks. International Journal of Distributed Sensor Networks, 18(9), 1-16.

Majid, M., Habib, S., Javed, A. R., Rizwan, M., Srivastava, G., Gadekallu, T. R., and Lin, J. C. W. (2022). Applications of wireless sensor networks and internet of things frameworks in the industry revolution 4.0: A systematic literature review. Sensors, 22(6), 1-36.

Nengroo, S. H., Jin, H., and Lee, S. (2022). Management of distributed renewable energy resources with the help of a wireless sensor network. Applied Sciences, 12(14), 1-25.

Ouni, R., and Saleem, K. (2022). Framework for sustainable wireless sensor network based environmental monitoring. Sustainability, 14(14), 1-26.

Subramani, N., Mohan, P., Alotaibi, Y., Alghamdi, S., and Khalaf, O. I. (2022). An efficient metaheuristic-based clustering with routing protocol for underwater wireless sensor networks. Sensors, 22(2), 1-16.

Temene, N., Sergiou, C., Georgiou, C., and Vassiliou, V. (2022). A survey on mobility in wireless sensor networks. Ad Hoc Networks, 125, 1-5.




DOI: https://doi.org/10.17509/ajsee.v4i1.57431

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