With the advancement of Vehicle-to-Everything (V2X) and Electric Vehicle (EV) technologies, high-frequency streaming data generated from charging activities has been widely utilized in cloud storage and multi-party collaboration. However, such data often contains sensitive information, including user location, energy usage, and travel patterns. If shared without adequate protection, it poses significant risks of privacy leakage and data tampering. To address these concerns, this paper proposes a streaming data encryption and verification scheme based on a key derivation tree. The scheme integrates symmetric additive homomorphic encryption and verifiable message authentication codes (HomMAC) to ensure both data confidentiality and integrity, while enabling efficient and controlled data access authorization. A pseudorandom generator is used to construct the key tree, effectively mitigating the key explosion problem in streaming data environments. Theoretical analysis and experimental results demonstrate that the proposed approach outperforms existing methods in terms of security, performance, and scalability, making it well-suited for protecting sensitive data.