• M.Ravindar
• Dr. R. Jegadeesan
• M.Anusha
• B.Navya
• Ravali Kotichintala

With the proliferation and ever-increasing capabilities of wearable devices, there is a significant role to provide medical data distribution in a secure way. For the sake of data security, the collected big data can be encrypted and then stored on a cloud-let such as authorized user, data owner and the doctors can access. In this work, we propose a collaborative model consists of intrusion detection and prevention system functions based on distribute IDS and IPS using NTRU algorithm. Whereas intrusion detection system monitoring system monitor a network for active or imminent security policy violation, intrusion prevention goes a step further to stop any kind of violation from occurring. Initially, we utilize Number Theory Research Unit in the data collection and encrypt the data which is collected by wearable devices. Then, we divide user’s medical data stored in a remote cloud. Finally, security analysis shows that the data sharing through cloud-let scheme is secure and improve data processing ability in cloud-let.

Privacy, datadistribution, medical data.

"INFORMATION PRIVACY AND MALICIOUS ACTIVITY AVOIDANCE FOR MEDICAL DATA DISTRIBUTION IN CLOUD ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.135-139, March-2019, Available :http://www.jetir.org/papers/JETIRAU06021.pdf

"INFORMATION PRIVACY AND MALICIOUS ACTIVITY AVOIDANCE FOR MEDICAL DATA DISTRIBUTION IN CLOUD ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp135-139, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06021.pdf