Abstract: Social Media Health Networks give a promisingworldview to pull in patients to share and impart their individual healthstatus with other online patients, and counsel healthcare administrations fromonline guardians with social systems. Social Media Health Networks changehealthcare administrations from tedious disconnected medical clinic focusedworldview to the advantageous and productive online worldview through web,which can extend the conventional healthcare benefits and abbreviate the datahole among patients and guardians. In any case, how to assemble the trust amongpatients and parental figures raises a testing issue because of thetransparency of the social systems, in the interim the individual securitymight be unveiled when sharing individual health data with different patientsand parental figures. In this work, we propose a customized and confided inhealthcare administration way to deal with empower trusted and protectionsaving healthcare benefits in social media health systems, which can improvethe trustiness among patients and parental figures through bona fideevaluations towards parental figures and assurance the patients' security. Inparticular, we utilize the collective sifting model to look for suitablecustomized parental figures, blossom channel to remove and map the individualhealthcare side effects, and inward item to register the similitude betweenpatients for discovering patients with comparable health manifestations in asecurity saving way. In the interim, to ensure real evaluations and surveystowards parental figures, we build up a sybil attack identification plan to locatepatients' phony evaluations and surveys utilizing various nom de plumes.Security examination shows that our proposed approach can save the protectionof patients and forestall sybil attacks. Execution assessment exhibits that ourmethodology can accomplish conspicuous execution improvement, regardingcustomized guardians finding furthermore, sybil attack opposition.

Keywords: —Physician patient relationships,health behavior,social media,social theory,psychological theory,medical informatics.