Özet:

In Wireless Sensor Networks (WSN) security and performance are determined to be the most crucial requirement. However, network security needs to fulfill the performance, availability, and integrity of WSN. It assists in the prevention of significant service interruptions and improves productivity by maintaining and preserving network functionality appropriately. As there is no proper centralized network infrastructure, the nodes are more vulnerable and susceptible to packet drops, eavesdropping, and attacks. In a gray hole attack, neighborhood or adjacent nodes are not properly placed and trustworthy in message forwarding to successive nodes. It is extremely critical to predicting illegitimate nodes which congest and isolate host node from the network which is a complicated task. Here, the resistive mechanism towards the gray hole attack is anticipated for predicting malicious nodes over the network under certain packet drop attacks. The prevailing LEACH is integrated with the resistive mechanism to achieve reliability in attack prediction by disabling the malicious nodes with the authentication process using the Lightweight Resistive Mechanism for Gray hole attack prediction (LRM-GHA). In the anticipated LRM-GHA method, routing overhead, jitter, and packet drop rate at various pause time needs to be reduced to 8%, 0.10% respectively. Packet drop rate varies due to the mobility speed when one/two gray hole nodes.

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