Conference,
Modified AODV Algorithm using Data Mining Process: Classification and Clustering
(2013)
Abstract
Security of Wireless Ad hoc network has a primary
concern to provide protected communication between mobile
nodes. When we routing some packet it can use both malicious
node or authenticate node for forwarding and receiving data.
Malicious node can attack like black hole, misuse of data or
hacked information. Our aim is to discuss the feasibility of
monitoring the node of different networks, to analyze it for
providing better security in AODV routing protocol. We
implement data mining techniques for search large amount
of data according characteristic rules and patterns to detect
malicious node. We have used growing neural gas (GNS)
clustering algorithm to make clusters and analysis data. Using
soft computing technique we find patterns, analysis node and
take decision based on decision tree.
