Security approach to controlling access to personal health records in healthcare service

Chen, Tzer-Long; Liao, Yu-Ting; Chang, Yifan; Hwang, Jen-Hung

doi:10.1002/sec.1387

Cited by 3 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Step 2: key is generated from both LHC and HS using the proposed algorithm as, For i= 1 to n Choose random number r j and ephemeral key K b for the request L Trust node process the request using Eqs. ( 5) and (6) Generate the secret information e b , s b and Q b Key generation using (9) and sent to trust node Combine the key with the removable template using algorithm 2 Authenticate and verification using (7) and (8) Share the key…”

Section: Algorithm:mentioning

confidence: 99%

Improved Key Agreement Based Kerberos Protocol for M-Health Security

Thirumoorthy¹,

Bhuvaneshwari²,

Kamalanathan³

et al. 2022

Computer Systems Science and Engineering

View full text Add to dashboard Cite

The development of wireless sensor network with Internet of Things (IoT) predicts various applications in the field of healthcare and cloud computing. This can give promising results on mobile health care (M-health) and Telecare medicine information systems. M-health system on cloud Internet of Things (IoT) through wireless sensor network (WSN) becomes the rising research for the need of modern society. Sensor devices attached to the patients' body which is connected to the mobile device can ease the medical services. Security is the key connect for optimal performance of the m-health system that share the data of patients in wireless networks in order to maintain the anonymity of the patients. This paper proposed a secure transmission of M-health data in wireless networks using proposed key agreement based Kerberos protocol. The patients processed data are stored in cloud server and accessed by doctors and caregivers. The data transfer between the patients, server and the doctors are accessed with proposed protocol in order to maintain the confidentiality and integrity of authentication. The efficiency of the proposed algorithm is compared with the existing protocols. For computing 100 devices it consumes only 91milllisecond for computation.

show abstract

Section: Algorithm:mentioning

confidence: 99%

Improved Key Agreement Based Kerberos Protocol for M-Health Security

Thirumoorthy¹,

Bhuvaneshwari²,

Kamalanathan³

et al. 2022

Computer Systems Science and Engineering

View full text Add to dashboard Cite

show abstract

“…Thus, the security and protection of PHR have been of great concern and a subject of research over the years [13]. Zhang et al [14] proposed a PHR security and privacy preservation scheme by introducing consent-based access control, where the consent can only be generated by an authorized user based on PRE.…”

Section: Related Workmentioning

confidence: 99%

“…The social data owner takes as input PK, a secret key SK, and a healthcare Security and Communication Networks 5 analyzer's identity ID and outputs a social reencryption key RK . (13) . (CT , RK ).…”

Section: (9)mentioning

confidence: 99%

Secure and Privacy-Preserving Data Sharing and Collaboration in Mobile Healthcare Social Networks of Smart Cities

Huang

Wang

Yang

2017

Security and Communication Networks

View full text Add to dashboard Cite

Mobile healthcare social networks (MHSN) integrated with connected medical sensors and cloud-based health data storage provide preventive and curative health services in smart cities. The fusion of social data together with real-time health data facilitates a novel paradigm of healthcare big data analysis. However, the collaboration of healthcare and social network service providers may pose a series of security and privacy issues. In this paper, we propose a secure health and social data sharing and collaboration scheme in MHSN. To preserve the data privacy, we realize secure and fine-grained health data and social data sharing with attribute-based encryption and identity-based broadcast encryption techniques, respectively, which allows patients to share their private personal data securely. In order to achieve enhanced data collaboration, we allow the healthcare analyzers to access both the reencrypted health data and the social data with authorization from the data owner based on proxy reencryption. Specifically, most of the health data encryption and decryption computations are outsourced from resource-constrained mobile devices to a health cloud, and the decryption of the healthcare analyzer incurs a low cost. The security and performance analysis results show the security and efficiency of our scheme.

show abstract

BC-PC-Share: Blockchain-Based Patient-Centric Data Sharing Scheme for PHRs in Cloud Computing

Lan¹,

Li²

2023

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

Security approach to controlling access to personal health records in healthcare service

Cited by 3 publications

References 12 publications

Improved Key Agreement Based Kerberos Protocol for M-Health Security

Improved Key Agreement Based Kerberos Protocol for M-Health Security

Secure and Privacy-Preserving Data Sharing and Collaboration in Mobile Healthcare Social Networks of Smart Cities

BC-PC-Share: Blockchain-Based Patient-Centric Data Sharing Scheme for PHRs in Cloud Computing

Contact Info

Product

Resources

About