For more choice and financial speculation reserves, dispersed processing allows data proprietors to reorganize their medical records from nearby locations into the open IoT network. In any case, sensitive data should be encoded before being re-distributed for the sake of monitoring estimations security, which replaces the usual practice of using plaintext keyword search. As a result, allowing for the search for organization of encrypted IoT data documents is critical. A few key words in the search for stores and return records may go a long way toward determining whether or not they are relevant to these important articulations, especially when considering the enormous amount of data customers and documents save in the IoT network. On a single catchphrase search or Boolean watchword look for, this method wears out open encryption thinking. In this research, for the first time, graph and deal with the bothersome problem of privately shielding multiple catchphrases placed in the investigation of encoded substances in transmission processing (MRSE). We created a private company to meet the needs of this IoT information usage contraption's severe privacy requirements. In this choose the green similarity dimension of "organise planning," i.e., as many suits as are feasible, from among the various multi-watchword semantics, in order to get the congruity of records reports with respect to the mission issue. In addition, employ "inward thing likeness" to look at such similarity in quantitative terms. When it comes to managing risk in our industry, first have to figure out what we're dealing with, and then have to figure out what we're dealing with in terms of how we're dealing with it. In addition to enhancing those designs to assist with more significant request semantics with N-gram block chain capabilities, enhance the recognition of records look transporter to better look.