Healthcare Data In Cloud Research Articles

Design of Efficient Storage of Health Care Data in Cloud for Disease Prediction

Design of Efficient Storage of Health Care Data in Cloud for Disease Prediction

Retraction Note to: A novel privacy preserving digital forensic readiness provable data possession technique for health care data in cloud

Retraction Note to: A novel privacy preserving digital forensic readiness provable data possession technique for health care data in cloud

Blockchain-based privacy preserving e-health system for healthcare data in cloud

Cloud-assisted electronic health (e-health) system has played an important role in the management of healthcare data, which can provide efficient and convenient storage services for the patients to store their electronic health records (EHRs). However, there are the security challenges in the existing e-health system, where the malicious doctors may collude with cloud storage service provider (CSP) to tamper with the patients’ EHRs, or directly reveal the content of EHRs to other adversaries for profit. In this paper, we propose a blockchain-based privacy preserving e-health system to ensure the security and confidentiality of the patients’ EHRs. In the system, we introduce the pairing-based cryptography to generate the tamper-proof records of the EHRs and allow the patients to integrate them into the transactions deployed on the blockchain, which can make the patients’ EHRs verifiable and protect them from illegal modification. Moreover, we will design secure payment protocols by performing blockchain-based smart contracts, which can enable the patients and hospital to reliably pay for the diagnostic and storage service, respectively. Security analysis and the performance evaluation demonstrate that our proposed scheme is secure and efficient with a limited computation overhead.

RETRACTED ARTICLE: A novel privacy preserving digital forensic readiness provable data possession technique for health care data in cloud

The scorching challenge calls for an importunate solution in the form of a secure, privacy preserved, economical cloud storage that can weather the turbulence of the rapidly evolving digital storage technologies. This calls for an avid solution, in the form of a public auditing protocol which stands as a testament to establish connection even with an unfamiliar person who must be trusted for sharing of health care data stored in a hermit cloud. The solution should be a technique which aids an external auditor to audit user’s outsourced data in the cloud deprived of the wisdom on the data content. The contributions in this paper are (1) A comprehensive analysis of the contemporary privacy preserving PDP data integrity schemes, (2) a novel technique, which, contemporaneously supports the vital functions like Unbounded number of audits, Public auditing, Blockless verification, Stateless verification, data integrity, confidentiality. (3) A framework to direct the data to be safely stored, (4) embed digital forensic readiness into the technique in order to be digitally forensic ready, monitor, plan and formulate proactively before the occurrence of any potential security incidents, (5) implementation of the enhanced PDP technique to validate the auditing performance by existing experimental comparisons with the state of the art techniques. The results validate that the novel integrity technique can competently accomplish secure auditing and outclass the erstwhile ones. Last but not the least, this paper also gives a bird’s eye view on the recent research status, and future directions of privacy preserving data integrity.

Assured and Coherent Sharing of Healthcare Data in Cloud using Cryptography

The Healthcare information system (HIS) is a compendious system which is developed with a help of various healthcare employees. This information system helps to manage the entire working system of a hospital in paperless environment. Here all the data’s related to a patient’s are stored in a single database. It offers various benefits to a hospital, but fails to provide the better privateness and security to the data's stored in healthcare database. Various cryptography algorithms are used by the users to share the health information in cloud, which provides secured data sharing. But still, data breeches is the main problem in cloud. This paper proposes a framework for secure sharing of healthcare data in cloud.The Healthcare information system (HIS) is a compendious system which is developed with a help of various healthcare employees. This information system helps to manage the entire working system of a hospital in paperless environment. Here all the data’s related to a patient’s are stored in a single database. It offers various benefits to a hospital, but fails to provide the better privateness and security to the data's stored in healthcare database. Various cryptography algorithms are used by the users to share the health information in cloud, which provides secured data sharing. But still, data breeches is the main problem in cloud. This paper proposes a framework for secure sharing of healthcare data in cloud.

Privacy-friendly platform for healthcare data in cloud based on blockchain environment

Data in cloud has always been a point of attraction for the cyber attackers. Nowadays healthcare data in cloud has become their new interest. Attacks on these healthcare data can result in annihilating consequences for the healthcare organizations. Decentralization of these cloud data can minimize the effect of attacks. Storing and running computation on sensitive private healthcare data in cloud are possible by decentralization which is enabled by peer to peer (P2P) network. By leveraging the decentralized or distributed property, blockchain technology ensures the accountability and integrity. Different solutions have been proposed to control the effect of attacks using decentralized approach but these solutions somehow failed to ensure overall privacy of patient centric systems. In this paper, we present a patient centric healthcare data management system using blockchain technology as storage which helps to attain privacy. Cryptographic functions are used to encrypt patient’s data and to ensure pseudonymity. We analyze the data processing procedures and also the cost effectiveness of the smart contracts used in our system.

TDRM: tensor-based data representation and mining for healthcare data in cloud computing environments

Big data analytics proved to be one of the most influential forces in today’s competitive business environments due to its ability to generate new insights by processing a large volume and variety of data. Storing as well as mining these datasets is one of the primary challenges of the big data era. If data are stored in a well-defined pattern, then its updation mining and deletion processes become easy. In this paper, granular computing concept is used to store heterogeneous data in the format of tensor. A multi-dimensional matrix, also known as tensor, stores data in the raw format, and then, raw tensor is replicated to multiple tensors of different abstraction levels based on concept hierarchy of each attribute. Mathematical foundation of tensor formation and query processing are developed. The proposed method is successful in creating tensors of a diabetes dataset proving its applicability. The proposed system provides faster computation, low response time, better privacy and high relevancy as compared to baseline PARAFAC2 and CANDELINC tensor analysis method when run on Microsoft Azure cloud infrastructure. Different levels of information granules in the form of tensors make data storage and its query processing effective.

BAMHealthCloud: A biometric authentication and data management system for healthcare data in cloud

Advancements in the healthcare industry have given rise to the security threat to the ever growing e-medical data. The healthcare data management system records patient’s data in different formats such as text, numeric, pictures and videos leading to data which is big and unstructured. Also, hospitals may have several branches in different geographical locations. Sometimes, for research purposes, there is a need to integrate patients’ health data stored at different locations. In view of this, a cloud-based healthcare management system can be an effective solution for efficient health care data management. But the major concern of cloud-based healthcare system is the security aspect. It includes theft of identity, tax fraudulence, bank fraud, insurance frauds, medical frauds and defamation of high profile patients. Hence, a secure data access and retrieval is needed in order to provide security of critical medical records in healthcare management system. Biometric based authentication mechanism is suitable in this scenario since it overcomes the limitations of token theft and forgetting passwords in the conventional token id-password mechanism used for providing security. It also has high accuracy rate for secure data access and retrieval. In the present paper, a cloud-based system for management of healthcare data BAMHealthCloud is proposed, which ensures the security of e-medical data access through a behavioral biometric signature-based authentication. Training of the signature samples for authentication purpose has been performed in parallel on Hadoop MapReduce framework using Resilient Backpropagation neural network. From rigorous experiments, it can be concluded that it achieves a speedup of 9 times, Equal error rate (EER) of 0.12, the sensitivity of 0.98 and specificity of 0.95. Performance comparison of the system with other state-of-art-algorithms shows that the proposed system preforms better than the existing systems in literature.