Water quality is a critical concern for human health, ecosystems, and sustainable resource management. Traditional water quality monitoring methods are expensive, time-consuming, and often lack real-time data availability. This research proposes a Secure Water Quality Monitoring framework integrating IoT, LoRa WAN, and secure data transmission to enable real-time, cost-effective monitoring in remote and urban areas. The system employs low-power LoRa technology for long-range communication, ensuring reliable data transmission even in connectivity-challenged regions. ESP32 microcontrollers process sensor data, measuring key parameters such as pH, turbidity, TDS, EC and DO. Security is ensured using AES-128-bit encryption and SHA-256 hashing, safeguarding environmental data against tampering. The proposed framework addresses challenges in conventional monitoring, such as high costs and limited scalability, by offering a low-cost, energy-efficient, and scalable approach. This study demonstrates the potential of IoT-driven smart monitoring framework to enhance water resource management and environmental sustainability, paving the way for future advancements in sensor technology, energy efficiency, and data security.