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Also, an important application may be the malicious node detection in wireless sensors, based on such estimation techniques.
The messages exchanged in the network is validated by the anchor nodes and if any such message is invalidated, then the node that had sent such messages would be the malicious node.
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In the Figure 3, S and D nodes are the source and destination nodes, A B C are the intermediate nodes and M is the malicious node.
Since, there might be the case that the CH is the malicious node the anchor nodes were monitoring and for which they initiated the localization process, then in this case, the anchor nodes will have to wait for the new CH to be elected before transmitting this critical data to the legitimate one.
M and N are the malicious nodes, tunnelled by colluding attackers.
After routing path of each node is established, the malicious node 52 and 51 start to spread fake routing message.
The way to calculate suspicious level will be updated when the malicious node set is updated.
It reflects an evaluation of the message security by source itself, e.g., the more important the source considers the message in this time slot, the more likely it is, the source S i think, to be wiretapped by the malicious node.
And the way to calculate suspicious level is updated once the malicious node set is updated.
When a sinkhole is formed, all the information passing through it can easily be manipulated by the malicious node.
Imagine a situation in which all jammers are close to the malicious node and far from the destination node.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com