The special characteristics of the Mobile and Ad hoc network (MANET) attract the users to access the services provided by the network. But, accessing these services such as high mobility also creates an issue of unstable routing which leads to packet dropping. To address this issue, the packet dump situation is considered in this document under normal and distortion mode. This paper also focused on black hole attack (BHA) and selective packet drop attack (SPDA) and has a threat prevention mechanism has been proposed. The whole paper is divided into three frames namely employing deployment model, the importance of intrusion and its prevention, and registration of new node through interpolation named as Chebyshev method. The prevention structure has been modeled using swarm and machine intelligence. In addition, the affected route has been detected using the Artificial Bee Colony (ABC) inspired Optimal Bee Behaviour (OBB) algorithm. The different parameters, such as, Delay, energy consumption,Throughput and Packet Delivery Ratio (PDR) are computed. The proposed work consumes less energy as the developed architecture compared with sate of art techniques which states that energy consumption revamped by 12%. The delay rate has been ameliorated by 69% and 10% in contrary to past studies. The proposed prevention structure provides 1.8% improvement for throughput in comparison to without prevention architecture. However, proposed model provides 0.94 PDR using the polynomial kernel in comparison to state of art techniques. The comparative analysis has been performed with the existing work and outperformance has been noticed in terms of QoS.