<p>The Fourth Industrial Revolution, termed Industry 4.0, presents several privacy and security challenges. The Internet of Things (IoT) has rendered several networks vulnerable, including Wireless Sensor Networks (WSNs), Vehicular Ad Hoc Networks (VANETs), and Mobile Ad Hoc Networks (MANETs). The fact that the current solutions do not provide a complete defense against different attacks to the network hinders them. The majority of security systems already in use are not particularly effective in defending against wider attacks because their primary focus has been on identifying and stopping specific types of attacks. We suggest the state-of-the-art MAP-AODV routing protocol for MANETs enabled by the IoT. The MAP-AODV protocol's primary objective is to provide a comprehensive method for identifying and reducing a wide range of network attacks while consuming the fewest amount of computing resources. Our three-part MAP-AODV is composed of (1) deploying a MANET with multiple attacks; (2) utilizing Node Behavior Score (NBS), a dynamic trust evaluation technique, to detect attacks regularly; and (3) utilizing Node Reliability Analysis (NRA) using cross-layer trust management to form secure routes to mitigate these attacks. To evaluate the robustness of the MAP-AODV protocol, we construct many network-based attacks. Direct and indirect trust metrics are used in the development of the proposed NBS and NRA processes, and a dynamic weight management method is employed to ensure QoS even in the presence of various attacks. In NS2, the MAP-AODV protocol and its supporting security measures are examined and discussed. The results of the simulation demonstrate that MAP-AODV outperforms other existing security measures in terms of effectiveness.</p>