The proliferation and usefulness of cloud computing in eHealth demands high levels of security and privacy for health records. However, eHealth clouds pose serious security and privacy concerns for sensitive health data. Therefore, practical and effective methods for security and privacy management are essential to preserve the privacy and security of the data. To review the current research directions in security and privacy in eHealth clouds, this study has analysed and summarized the state of the art technologies and approaches reported in security and privacy in the eHealth cloud. An extensive review covering 132 studies from several peer-reviewed databases such as IEEE Xplore was conducted. The relevant studies were reviewed and summarized in terms of their benefits and risks. This study also compares several research works in the domain of data security requirements. This paper will provide eHealth stakeholders and researchers with extensive knowledge and information on current research trends in the areas of privacy and security.

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A Review of the State of the Art in Privacy and Security in the eHealth Cloud

This paper explores different security aspects in cloud computing environment. It includes data sharing mechanism, inter cloud communication, data breaches, data control, user-cloud relationship along with the cloud data management with standard security algorithms. It also covers the related reviews and analytical analysis on the traditional approaches for the gap identification. So, a short meta-analysis has been presented based on the method discussed along with the advantages and challenges found. It also explores the future prospective where there is the need of exploration and

https://www.accentsjournals.org/PaperDirectory/Journal/TIS/2020/1/2.pdf

Survey and analysis of cloud data management and security

The personal health record has been shared and preserved easily with cloud core storage. Privacy and security have been one of the main demerits of core CloudHealthData storage. By increasing the security concerns in this paper experimented Operative Access Regulator for Attribute Based Generalized Signcryption Using rough set theory. By using rough set theory, the classifications of the attribute have been improved as well as the compulsory attribute has been formatted for decrypting process by using reduct and core. The Generalized signcryption defined priority wise access to diminish the cost and rise the effectiveness of the proposed model. The PHR has been stored under the access priorities of Signature only, encryption only and signcryption only mode. The proposed ABGS performance fulfills the secrecy, authentication and also other security principles.

Operative Access Regulator for Attribute Based Generalized Signcryption Using Rough Set Theory

In this paper an efficient security mechanism has been adopted for the cloud computing environment. It also provides an extendibility of cloud computing environment with big data and Internet of Things. AES-256 and RC6 with two round key generation have been applied for data and application security. Three-way security mechanism has been adopted and implemented. It is user to user (U to U) for data sharing and inter cloud communication. Then user to cloud (U to C) for data security management for application level hierarchy of cloud. Finally, cloud to user (C to U) for the cloud data protection. The security analysis has been tested with different iterations and rounds and it is found to be satisfactory.

https://www.accentsjournals.org/PaperDirectory/Journal/TIS/2020/7/1.pdf

An efficient data security mechanism with data sharing and authentication

In the digital world, adequate data has been stored and accessed under a cloud by using various users. The system emanates beneath the user management to resolve the security and privacy risks. In multi-user setup, the attendance to add operations carried out to sign-up and user cancellation from cloud to yield the risk overload. Further to avoid this problem, the paper castoff a Generalized-signcrypt identity-based encryption (Gs-IBE) with a random modulator that has been experimented. The conditional variable Am(r) been castoff to recognize the collusion in the random value. The Am(r) perform the distinct job in the random bit generation of each random element selection.

Efficient Gs-IBE for Collusion Resistance on Multi-handler Cloud Environment Using Attribute-Modulator (AM)

Cloud computing has been more trending technology. It emerging most of the industries. One of the most widely used in industries are cloud health care. By using cloud- based health care reduces the cost, making easy sharing, and processing health data. Cloud health care makes an easy and time-efficient diagnosis for an efficient situation in cloud health care. The patient information has been stored under a centralized repository to make easily available data in all situations. One of the main disadvantages of using cloud health care data is security and privacy issue. This paper analysis the various attribute-based encryption.

J. Priyanka

Papers

Performance Analysis of Attribute based Encryption and Cloud Health data Security