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Using the idea of machine learning, the authors of this study provide a novel security mechanism for an Internet of Things model that is built on a mobile ad hoc network (MANET). The Black Hole Assault, also known as BHA, is among the most dangerous threats that can be found in a MANET. In this attack, the attacker node eliminates all of the data flow, which brings the efficiency of the model down. As a consequence of this, the development of a technique that is capable of shielding the system from the BHA node is required. This paper presented Ad-hoc On-Demand Distance Vector. It is a new advanced routing protocol which provides a combination of three different methods: ABC, ANN & SVM. The innovation of the developed framework is the integration of the SVM with the ANN, which allows detecting the attackers inside the identified path by using the AODV routing algorithm. This helps to prevent attacks. In …