The rapid growth of cloud computing has resulted in the spread of a wide range of online services. This complicates the process for users in determining which ones best meet their needs. Users require web service suggestions, which are only possible through the use of guided algorithms. Some of these algorithms have undergone further evaluation. Undoubtedly, a considerable number of present guiding systems rely on a jumble of old data, potentially revealing a weak point of entry. Cloud service providers frequently store sensitive diplomatic material that may jeopardize the privacy of their clients; as a result, these firms are typically hesitant to disclose such information. In addition to increasing revenue, providing secure data transmission between cloud platforms can become an important component of future recommendations targeted at overcoming the challenges we've already described. This paper provides a collaborative service suggestion system (BC-SRDS) that uses blockchain technology. We typically use ciphertext-policy attribute-based encryption (CP-ABE) to protect the data. This approach prioritizes data security and privacy. Following that, we looked at specific examples of negligence and planned attacks, such as Distributed Denial of Service (DDoS) and Denial of Service (DoS), that were carried out via data transmission via the blockchain. Furthermore, the blockchain ensures data security and immutability. A locality-sensitive hashing method is also used to ensure that customers may rely on our services. The security analysis shows that BC-SRDS successfully protects data privacy, prevents tampering, and ensures data integrity. Multiple reviews have shown that BC-SRDS produces better recommendations than competing techniques.

Collaborative servicere commendation, blockchain,data distribution.