A Systematic Survey on Various Distributed Denial of Service (DDoS) Attacks in Wireless Sensor Networks (WSN)

Keerthika, M.; Shanmugapriya, D.

doi:10.1109/icraie56454.2022.10054309

Cited by 2 publications

(2 citation statements)

References 32 publications

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“…Intrusion detection systems (IDS) or anomaly detection algorithms can be used to identify abnormal behaviors or patterns that may indicate malicious activity. Intrusion prevention mechanisms, such as packet filtering or anomaly-based intrusion prevention systems (IPS), can help block or mitigate attacks (Keerthika & Shanmugapriya, 2022).…”

Section: Intrusion Detection and Preventionmentioning

confidence: 99%

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Resource Limitations for Wireless Sensor Networks to Establish a Comprehensive Security System in the 5G Network

Yakubu¹,

Maiwada

2023

USci

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The difficulty with safety in Wireless Sensor Networks (WSNs) requires comprehensive, holistic security techniques that can offer a long-term solution. Quantum security is anticipated to assist in the overall security strategy for WSN systems given the broad adoption of WSN around the world, notably the Internet of Things (IoTs). With the use of WSN and these quantum safeguards, data security can be offered whenever and anywhere. This study examines the security limitations of WSNs and offers a comprehensive approach through all network layers that will function as an Equal security mechanism solution and a solution to shield nodes from threats such as attacks on sensitive data, eavesdropping, disruption, destruction, and alteration. WSNs are used in a range of missions, especially the armed forces, ecological, and health ones, for evaluation, tracking, and regulating purposes. However, problems arise from being aware of their resource limitations. Data and node security are difficulties when using WSN because to low computation capabilities, small memory, few power sources, and unreliable connectivity, to name just a few. Therefore, as the demand for WSNs increases, so does the need for better security measures.

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Section: Intrusion Detection and Preventionmentioning

confidence: 99%

“…Deploy intrusion detection and prevention mechanisms to identify and mitigate potential attacks or anomalies in the network. This includes anomaly-based detection algorithms, intrusion prevention systems, and real-time monitoring to detect and respond to security incidents (Keerthika & Shanmugapriya, 2022).…”

Section: Intrusion Detection and Preventionmentioning

confidence: 99%