• Chadive spandana
• M.Bhavani

Healthcare social platform, together with Patients LikeMe, can achieve data from other similar patients through data sharing in phrases of person’s own findings. Though sharing scientific data on the social community is useful to both sufferers and doctors, the sensitive records is probably leaked or stolen, which reasons privacy and security issues without efficient protection for the shared data. In this paper, I increase a novel healthcare system through utilizing the controls of cloudlet along with utilize Bloom filter hash intended for protection. The purpose of cloudlet consist of confidentiality defense, information distribution &intrusion detection. The information build up through wearable gadget be transmit toward cloudlet. That information is within adding in the direction of the distant cloud in which medical doctors is able to acquire the accurate of access to illness study.

Cloudlet, Data Collection, Intrusion Detection

"Privacy Preserving for Cloudlet based Healthcare Data Using NTRU and Bloom Filter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.102-107, June 2019, Available :http://www.jetir.org/papers/JETIRDC06018.pdf

"Privacy Preserving for Cloudlet based Healthcare Data Using NTRU and Bloom Filter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp102-107, June 2019, Available at : http://www.jetir.org/papers/JETIRDC06018.pdf