Comprehensive review on distributed denial of service attacks in wireless sensor networks

Subramani, Shalini; Selvi, M.

doi:10.1504/ijics.2023.128828

Cited by 3 publications

(1 citation statement)

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“…Unlike conventional networks that constantly gather information, EWSNs gather the information once predetermined events are identified by the SN within the arrangement. EWSNs prove especially valuable in applications where real-time response to events is critical [4]. By transmitting data only during event occurrences, EWSNs conserve energy, minimize network congestion, and operate for extended durations without frequent battery replacements.…”

Section: Introductionmentioning

confidence: 99%

A Combined Scheme Based on Artificial Immune System for Selective Forwarding Attack Detection in Event Driven Wireless Sensor Networks

2024

Teh. vjesn.

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In general, the wireless sensor networks (WSNs) can be easily targeted by attacks due to their open nature. Among these attacks, the selective forwarding attack is particularly challenging to detect within WSNs. In this type of attack, malicious nodes deliberately discard received data packets, making it difficult to identify such attacks. Existing methods for selective forwarding attacks often suffer from low accuracy or high algorithm complexity, when dealing with Distributed Denial of Service attacks (DDoS). We propose an artificial immune system based on the danger model to detect network attacks. Our approach combines variational mode decomposition (VMD) and LSTM to identify selective forwarding attacks among other DoS attacks. We determine an optimal danger threshold and compare the outcomes to confirm the presence of attacks. This approach improves detection accuracy while minimizing computation requirements. The simulation results demonstrate that our proposed method achieves a low missing detection rate (MDR) of 0.6% and maintains a false detection rate (FDR) below 3.3%. Furthermore, in comparison with previous works, our system produces low algorithm complexity, making it more efficient in practical implementations.

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Section: Introductionmentioning

confidence: 99%

A Combined Scheme Based on Artificial Immune System for Selective Forwarding Attack Detection in Event Driven Wireless Sensor Networks

2024

Teh. vjesn.

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Detection and Prevention of UDP Protocol Exploiting and Smurf Attack in WSN Using Sequential Probability Ratio Test Algorithm

Singh,

2023

2023 International Conference on Data Science and Network Security (ICDSNS)

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The Performance Analysis of Distributed Denial of Service Attacks in Wireless Networks

Agrawal,

Raghavendra,

Singh

et al. 2023

2023 2nd International Conference on Futuristic Technologies (INCOFT)

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Comprehensive review on distributed denial of service attacks in wireless sensor networks

Cited by 3 publications

References 0 publications

A Combined Scheme Based on Artificial Immune System for Selective Forwarding Attack Detection in Event Driven Wireless Sensor Networks

A Combined Scheme Based on Artificial Immune System for Selective Forwarding Attack Detection in Event Driven Wireless Sensor Networks

Detection and Prevention of UDP Protocol Exploiting and Smurf Attack in WSN Using Sequential Probability Ratio Test Algorithm

The Performance Analysis of Distributed Denial of Service Attacks in Wireless Networks

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