GitHub - mohanambati/ORPNQ: The main feature of nodes in Networks is by cooperating with neighbors to propagate data. Misusing this feature, malicious nodes cooperate with normal nodes to disrupt network operation and reduce its efficiency. One of the effective ways of detecting malicious nodes and find the optimal routing policy is by learning the network. Focusing on this issue, in this paper, an approach is proposed to learn the network and predict the behavior of the neighbors using Q-Learning [9]. A learning module is embedded into each node of the network and each node learns the routing policy by minimizing the number of hops a packet will take in all possible routes available by predicting the behavior of the neighboring nodes and avoiding the malicious nodes. It does this by experimenting with different routing policies and gathering the statistics about which decisions minimizes the number of hops by avoiding the malicious nodes. The learning is continual and online, uses only local information, and is robust in the face of irregular and dynamically changing networks.

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The main feature of nodes in Networks is by cooperating with neighbors to propagate data. Misusing this feature, malicious nodes cooperate with normal nodes to disrupt network operation and reduce its efficiency. One of the effective ways of detecting malicious nodes and find the optimal routing policy is by learning the network. Focusing on thi…

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Name		Name	Last commit message	Last commit date
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inputs		inputs
Analize.c		Analize.c
MaliciousNodes.c		MaliciousNodes.c
MaliciousNodes.exe		MaliciousNodes.exe
MaliciousNodes.obj		MaliciousNodes.obj
Project.c		Project.c
Project.exe		Project.exe
Project.obj		Project.obj
README.pdf		README.pdf
glut.h		glut.h
glut32.dll		glut32.dll
glut32.lib		glut32.lib
reset.c		reset.c
reset.exe		reset.exe
reset.obj		reset.obj
valuit.c		valuit.c
valuit.exe		valuit.exe
valuit.obj		valuit.obj