INTRUTION DETECTION SYSTEM USING 6G WITH INTERNET OF THING AND AUMANN AGREEMENT THEOREM

Abstract

The expansion of IoT devices has provoked the curiosity of a few foes searching for an alternate means to acquire unapproved admittance to frameworks or for other unlawful reasons. Therefore, it is fundamental to safeguard these gadgets. Vehicular ad hoc network (VANETs) has acquired wide notoriety with the end goal that consolidating trust among every hub in the network is important. Nonetheless, trust the executives among vehicles is a difficult undertaking as vindictive hubs are inclined to upset information transmission among various vehicles. The point of this work is to lay out the reality of agreement, to recognize the malignant hubs with no further postponement, by taking into account the choice of every vehicle on finding the trust values. The IDS acts as an second layer of protection against the intruders and not letting any attack to the network. This paper presents a Consistent Interference Acknowledgment Structure that has been set up for the IoT centre to foresee assault. In our paper we have trained and tested the model from the dataset, this has been attempted with consistent association traffic. Thus, in our proposed work we have evaluated the precision , recall and F1score to analyse the data used from dataset and enhance the performance .