The exact expression can be recovered from the numerous documents using phrase search, which plays a significant part in numerous applications in cloud-based IoT for example intellectual health information analytics. The searchable encryption structures existing are incapable of determining the location connection of numerous keywords in an enquired phrase over encoded data and flop to achieve expression examination on server-side cloud. Generally, data owners encrypt documents previously outsourcing on to cloud beneficial to guard delicate data from being leaked by facility providers which makes the search process an enormously stimulating task. In the proposed project Privacy Preserving Phrase(P3) search for intellectual processing of encrypted data in cloud-based IoT. Security assurances accomplished by P3 validates security analysis authentications. To discover the location connection of numerous inquired keywords over encoded data the structure makes use of the AES, XOR and Fernet algorithms. P3 can significantly advance the search accuracy with sensible expenses compared with the estimation outcomes display current multi-keyword search structure. To conduct wide-ranging researches on real-world datasets a model has been employed.