<p>Wireless Sensor Network (WSN) is an auspicious technology consisting of huge amount of wireless sensors for monitoring the physical environmental conditions. However, WSNs are vulnerable to malicious attacks because of their open deployment, energy restriction and absence of a centralized infrastructure. This issue is addressed by developing a trust based Secure Cluster Head (SCH) and route discovery for an effective data broadcasting in WSN. In this research, the Multiobjective-Trust Aware Osprey Optimization Algorithm (M-TAOOA) is proposed to select a SCH, and a secure path in the WSN. At first, the SCHs from normal sensors are chosen by using M-TAOOA where they are optimized by using trust, energy, interspace among sensors and SCH, and the interspace between SCH and BS. Subsequently, secure multi-hop routing via the CHs to Base Station (BS) is enabled by using the M-TAOOA with trust, energy and distance metrics. Therefore, the developed M-TAOOA is used to provide resilience against malicious attacks, as well as enhance the energy efficiency. The M-TAOOA is examined using alive nodes, energy expenditure, data received in BS, throughput and network lifespan. The existing approaches namely, Taylor-Spotted Hyena Optimization (Taylor-SHO) and Taylor based Cat Salp Swarm Algorithm (Taylor C-SSA) are used for comparison with the M-TAOOA. Simulation results shows that M-TAOOA maintains 100 alive nodes for 200 rounds, thereby reducing energy consumption to 0.0014&#xa0;J and achieves a throughput of 165,632Kbps thereby outperforming Taylor-SHO, Taylor C-SSA, and I-HBA.</p>