This paper proposes a hybrid, secure, and scalableapproach for data management in the Internet of Things (IoT), incorporatinghomomorphic encryption (HE) and zero-knowledge proofs (ZKPs). The workquantifies the trade-offs between security, energy consumption, and processingefficiency. Through detailed simulations, the energy consumption of theproposed hybrid model is compared to traditional methods, and its scalingproperties are evaluated with an increasing number of devices. The resultsdemonstrate that the hybrid model offers improved data security; however, thisis achieved at a cost of higher energy consumption and presents challenges suchas increased processing demands and longer response times. The findingshighlight practical security-performance trade-offs in IoT applications,providing a valuable guide for future research focused on streamlining hybridIoT security solutions.