Preserving trustworthy matters in the wireless application is the most needed task to maintain sensitive information as confidential. Considering these, the current article has aimed to introduce a novel Deep Belief-Based Homomorphic Twofish Blockchain (DBHTB) framework for the Wireless Sensor Network (WSN). In the primary phase, the required sensor nodes were created in the WSN environment. Henceforth, to offer privacy, a novel DBHTB was implemented. Consequently, the monitoring function is activated for predicting and eliminating malicious events. Henceforth, the digital hashing operation is done for the digital plain test to generate hash 1. Moreover, the encryption operation is activated to hide the plain text from the third parties in the WSN environment. In addition, to check the data integrity homomorphism process is applied to the encrypted data. Another hash value is obtained by performing the homomorphic function, which is considered hash 2. Finally, in the verification process, hash 1 is matched with hash 2 and the data integrity was measured by performing the crypt analysis. Subsequently, the robustness of the built novel solution is measured in terms of following metrics like encryption time, hashing time, throughput, Packet Loss Rate (PLR) and decryption time. The proposed strategy has obtained the finest outcome in all metrics compared to other traditional approaches.