PMRSS Privacy-preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare

Abstract : In medical field, previous patients' cases are extremely private as well as intensely valuable to current disease diagnosis. Therefore, how to make full use of precious cases while not leaking out patients' privacy is a leading and promising work especially in future privacy-preserving intelligent medical period. In this paper, we investigate how to securely invoke patients' records from past case-database while protecting the privacy of both current diagnosed patient and the case-database and construct a privacy-preserving medical record searching scheme based on ElGamal Blind Signature. In our scheme, by blinded the healthy data of the patient and the database of the intelligent doctor respectively, the patient can securely make self-helped medical diagnosis by invoking past case-database and securely comparing the blinded abstracts of current data and previous records. Moreover, the patient can obtain target searching information intelligently at the same time he knows whether the abstracts match or not instead of obtaining it after matching. It greatly increases the timeliness of information acquisition and meets high-speed information sharing requirements especially in 5G era. What's more, our proposed scheme achieves bilateral security, that is, whether the abstracts match or not, both of the privacy of the case-database and the private information of the current patient are well protected. Besides, it resists different levels of violent ergodic attacks by adjusting the number of zeros in a bit string according to different security requirements.

 EXISTING SYSTEM :

 ? In the existing schemes, encrypted data and a corresponding secret key protected in a digital envelope are usually combined together and sent to the authorized receivers. ? Although these schemes provide secure storage and finegrained access control in cloud, there are still some problems existing in the systems, such as how to prevent internal malicious attacks and cloud server crashes. ? For overcoming the challenges existing in security, this paper has come out with a privacy-preserving technique with significant data extraction from IoT devices linked with healthcare sector. ? In smart healthcare, for privacy preserving, not only user’s IoT data but also doctor’s diagnosis should be protected.

 DISADVANTAGE :

 ? These security and privacy problems of medical data could result from a delay in treatment progress, even endangering the patient’s life. ? However, adopting blockchain in the context of IoT is not straightforward and entails several problems such as demands of high computational power to solve PoW, low scalability and long latency for transaction confirmation over the network. ? Using such decentralized systems, we can also eliminate the single point of failure or information delay problems. ? However, the inability to delete or change information from blocks makes blockchain technology the best technology for the healthcare system and could prevent these issues.

 PROPOSED SYSTEM :

 • The objective of the proposed scheme is to minimize hiding failure rate, modification degree, and true positive value for better preservation of sensitive data. • In order to reduce the storage cost in cloud servers, in, they further proposed an effective solution to allow cloud servers to remove duplicate data and reduce storage costs. • Block chain has been originally proposed for constructing a public distributed ledger for all transactions in Bitcoin • In this paper, we proposed a privacy-preserving scheme (Health chain) for fine-grained access control of largescale health data based on blockchain.

 ADVANTAGE :

 ? The main concern in RPM systems is the secure and efficient transmission of the medical data. ? This paper takes an initial look at a blockchain-based IoT model glimpsing into an advanced security and privacy model to be used in any current IoT-based remote monitoring system. ? We use the variable name ksym for the private key or symmetric key in our algorithms, and the same key will be used for encryption and decryption on both side of the transmission. ? This paper contributes an efficient data preservation policy in healthcare sector connected with IoT. ? A new multi-layer cloud design was introduced to facilitate efficient and faultless interoperations on heterogeneous services offered by diverse retailers in IoT- dependent smart home.