A Secure G-Cloud-Based Framework for Government Healthcare Services

Sharaf, Sanaa; Shilbayeh, Nidal F.

doi:10.1109/access.2019.2906131

Cited by 19 publications

(12 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Attribute-based encryption (ABE) to secure personal health records in cloud computing is reported in [21] provides security to the health care records and maximizes the patient privacy. The security problems in Ciphertext-Policy Attribute-Based Encryption (CP-ABE) for electronic health record is reported in [22][23][24].…”

Section: Related Workmentioning

confidence: 99%

A Secure Encrypted Classified Electronic Healthcare Data for Public Cloud Environment

Maathavan¹,

Venkatraman²

2022

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

A Secure Encrypted Classified Electronic Healthcare Data for Public Cloud Environment

Maathavan¹,

Venkatraman²

2022

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

“…It offered fine grained access control over the multiple authorities that facilitate the communication among both citizen and government. The multifactor authentication for applicants is established and validated through two authorities [20]. Mayank et al focused a hybrid technique is proposed with k-anonymity and size restricted query set to ensure the confidentiality of health care data from inference attacks and linking attacks.…”

Section: Related Workmentioning

confidence: 99%

TAR-AFT: A Framework to Secure Shared Cloud Data with Group Management

Ambika¹,

Moses²

2022

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

In addition to replacing desktop-based methods, cloud computing is playing a significant role in several areas of data management. The health care industry, where so much data is needed to be handled correctly, is another arena in which artificial intelligence has a big role to play. The upshot of this innovation led to the creation of multiple healthcare clouds. The challenge of data privacy and confidentiality is the same for different clouds. Many existing works has provided security framework to ensure the security of data in clouds but still the drawback on revocation, resisting collusion attack along with privacy of data present a complex problem. For preserving the data privacy and confidentiality, a novel framework is proposed with two novel algorithms of Threat Aware Revocation (TAR) and Advance Flexi Twister Secret Block Encryption Standard (AFT-SBES) both are named as TAR-AFT. The TAR algorithm is mainly focus on generates the user signature and the AFT-SBES algorithm to generate the key. Both the signature and key are distributed to the users for enhancing the security to access cloud storage and files. The self-session shadow approach is used to monitor the activities of the cloud users. The revocation is carried out through removal of signature from the Enhanced Dynamic Hash Table (EDHT). From the performance analysis of TAR-AFT, it provides more effective to accessing of data stored in cloud and security such as data privacy and confidentiality.

show abstract

“…Meanwhile, in SecHC framework, the proposed CP-ABE scheme capable of supporting fully hidden access policy using data hiding technique, provide integrity using hashing scheme and provision fine-grained access control. Most of the researchers have improvises the CP-ABE scheme except the authors in [26] and [28] which cause them unable to achieved hidden policy and provide data integrity.…”

Section: Comparison With Other Frameworkmentioning

confidence: 99%

Cloud-based Secure Healthcare Framework by using Enhanced Ciphertext Policy Attribute-Based Encryption Scheme

Mohamed¹,

Hussin²,

Hanapi³

et al. 2021

IJACSA

View full text Add to dashboard Cite

Cloud computing is an emerging technology that has been used to provide better healthcare services to the users because of its convenient and economical features. Noted that the healthcare services required fast and reliable data sharing at anytime from anywhere for better monitoring and decision making in medical requirements. However, the privacy and integrity of electronic healthcare record become a significant issue during data sharing and outsourcing in Cloud. The data privacy of clients/patients is important in healthcare services where exposure of the data to unauthorized parties is unexceptional. In order to address this security loophole, this paper presents a Cloud-based Secure Healthcare Framework (SecHS) to offer safe access to healthcare and medical data. Specifically, this paper enhance the Ciphertext Policy Attribute-Based Encryption (CP-ABE) scheme by adding two more modules which aims to provide fine-grained access control and offer privacy and integrity of data. It facilitates encryption and hashing schemes. The proposed framework is compared with existing frameworks that used CP-ABE scheme. It shows the SecHS offers better features towards securing the healthcare services data. Optimistically, data security requirements such as privacy, integrity and fine-grained access control are required to effectively proposed for assuring data sharing in the Cloud environment.

show abstract

A Secure G-Cloud-Based Framework for Government Healthcare Services

Cited by 19 publications

References 23 publications

A Secure Encrypted Classified Electronic Healthcare Data for Public Cloud Environment

A Secure Encrypted Classified Electronic Healthcare Data for Public Cloud Environment

TAR-AFT: A Framework to Secure Shared Cloud Data with Group Management

Cloud-based Secure Healthcare Framework by using Enhanced Ciphertext Policy Attribute-Based Encryption Scheme

Contact Info

Product

Resources

About