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A Rule-Based Approach for grey hole Attack Prediction in Wireless Sensor Networks

Intelligent Automation & Soft Computing 2023年第3期35卷 3815-3827页

作者： C.Gowdham S.Nithyanandam Department of Computer Science and Engineering PRIST Deemed to be UniversityThanjavur613403TamilnaduIndia

The Wireless Sensor Networks(WSN)are vulnerable to assaults due to the fact that the devices connected to them have a reliable connection to the inter-net.A malicious node acts as the controller and uses a grey hole attack to get the data from all of the other nodes in the ***,the nodes are dis-carding and modifying the data packets according to the requirements of the *** assault modiﬁes the fundamental concept of the WSNs,which is that different devices should communicate with one *** the proposed system,there is a fuzzy idea offered for the purpose of preventing the grey hole attack from making effective communication among the WSN *** currently available model is unable to recognise the myriad of different kinds of *** fuzzy engine identiﬁed suspicious actions by utilising the rules that were gen-erated to make a prediction about the malicious node that would halt the *** conducted using simulation are used to determine delay,accuracy,energy consumption,throughput,and the ratio of packets successfully *** stands in contrast to the model that was suggested,as well as the methodologies that are currently being used,and analogue behavioural *** comparison to the existing method,the proposed model achieves an accuracy rate of 45 per-cent,a packet delivery ratio of 79 percent,and a reduction in energy usage of around 35.6 *** results from the simulation demonstrate that the fuzzy grey detection technique that was presented has the potential to increase the net-work’s capability of detecting grey hole assaults.

关键词： Attack prediction grey hole wireless sensor networks rule-based model grey attack

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