In the rapidly evolving digital landscape, data security has become paramount, necessitating innovative encryption techniques that balance computational efficiency with robust protection. This research introduces the New Efficient Selective Encryption Algorithm (DSEA), a novel approach to selective text encryption that addresses critical challenges in current cryptographic methods. By leveraging intelligent message analysis and strategic encryption, by providing a robust approach to safeguard valuable information at the same time as minimizing resource usage, DSEA addresses the need for privacy in a progressive manner. The approach utilizes proximity to structural properties of the message, such as the ratio of alphabetic characters, presence of vowels, and semantic connections, to inform the selection of encryption techniques. DSEA thus allows encryption to be applied at a more granular scale, using its identification and prioritization of sensitive text segments, which results in a significantly lower computation overhead compared to traditional techniques for full-document encryption. Experimental results show that DSEA has a better performance comparing with the existing selective encryption schemes, especially in the encryption time percentage, encryption processing time, and encryption proportion.