A WORM HOLE ATTACK DETECTION IN MOBILE AD-HOC NETWORK USING GA AND SVM
Rubi, Rashmi Popli · International Journal of Engineering Applied Sciences and Technology · 2020
Mobile Adhoc Network (MANET) -A MANET is a collecting of self-arranged node connected with wireless connections.Every node of a mobile ad hoc network goes about as a router and discovers an appropriate route to forward a packet from source to destination.This network is relevant in regions where establishment of framework is not possible, such as in the military condition.In a mobile ad-hoc network (MANET), there is a short-term network setup by boundless nodes, which move anywhere and communicate within the absence of centralized network.In Wormhole Attack, two or more malicious node discover a wormhole attack using a private channel called tunnel Wormhole tunnel will at that point begin gathering the data packets and transfer the same to some other area.Proposed work recommended the proficient and secure routing in MANET.We have chosen 20 significant features at that point make a dataset that labelled with the help of a one of a kind node address.Along these lines, apply two popular Machine Learning classifiers that group into two classifications to be specific normal and malicious data of test samples.We are using Genetic Algorithm for feature selection and SVM (Support Vector Machine) for classification.The exhibition of the system evaluated on various measurable parameters and compared and the recent methods.