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PSMPA: Patient Self - controllable andMulti - level Privacy - preserving CooperativeAuthentication in Distributed m - HealthcareClou

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM18


Project Abstract

PSMPA: Patient Self-controllable and Multi-level Privacy-preserving Cooperative Authentication in Distributed m-Healthcare Cloud Computing System

 

ABSTRACT

 

In m-healthcare social networks, the personal health information is always shared among the patients located in respective social communities suffering from the same disease for mutual support, and across distributed healthcare providers equipped with their own cloud servers for medical consultant. And also it gives the security and privacy of the patients’ personal health information from various attacks in the wireless communication channel such as eavesdropping and tampering. In this paper, the security and anonymity level of our proposed construction is enhancing by number of patients’ attributes to deal with the privacy leakage in patient sparsely distributed cloud system. Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Data mining is primarily used today by companies with a strong consumer focus - retail, financial, communication, and marketing organizations.

 

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING SYSTEM:-

   The challenge of keeping both the data    confidentiality and patients’ identity privacy   simultaneously.

Many existing access control and anonymous authentication schemes cannot be straightforwardly exploited.

 

PROPOSED SYSTEM:-

The security and anonymity level of our proposed system is significantly enhanced by using patient’s attributes.

The best way for the patient is to encrypt his own PHI under a specified access by each physician a secret key.

TECHNIQUE:-

Central cloud computing architecture.

 

 

ALGORITHM:-

 

Key Extraction algorithm.

Sign algorithm.

Verify and Transcript Simulation Generation algorithm.

TECHNIQUE DEFINITION:-

To improve upon the scalability of the above solutions, one-to-many encryption methods such as ABE can be used.

There has been an increasing interest in applying ABE to secure electronic healthcare records (EHRs).

 

TECHNIQUE DEFINITION:-

Propose an enhanced MA-ABE scheme.

In particular, an authority can revoke a user or user’s attributes immediately by re-encrypting the cipher texts and updating users’ secret keys,

DRAWBACK:-

It mainly focuses on the central cloud computing system which is not sufficient for efficiently processing the increasing volume of personal health information in m-healthcare cloud computing system.

ADVANTAGE:-

To achieve more Secure and Privacy.

The patient’s attributes are encrypted.

 

 

 

 

 

 

 
 
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