Privacy preservation of electronic health records with adversarial attacks identification in hybrid cloud

2021 ◽  
pp. 103522
Author(s):  
Tehsin Kanwal ◽  
Adeel Anjum ◽  
Saif U.R. Malik ◽  
Abid Khan ◽  
Muazzam Khattak
Keyword(s):  
Electronic Health Records ◽  
Privacy Preservation ◽  
Hybrid Cloud ◽  
Health Records ◽  
Electronic Health

scholarly journals Privacy-aware relationship semantics–based XACML access control model for electronic health records in hybrid cloud

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771984605 ◽  
Author(s):  
Tehsin Kanwal ◽  
Ather Abdul Jabbar ◽  
Adeel Anjum ◽  
Saif UR Malik ◽  
Abid Khan ◽  
...  
Keyword(s):  
Access Control ◽  
Electronic Health Records ◽  
Cloud Service ◽  
Control Model ◽  
Hybrid Cloud ◽  
Access Control Model ◽  
Health Records ◽  
Fine Grained ◽  
Electronic Health ◽  
Records Access

State-of-the-art progress in cloud computing encouraged the healthcare organizations to outsource the management of electronic health records to cloud service providers using hybrid cloud. A hybrid cloud is an infrastructure consisting of a private cloud (managed by the organization) and a public cloud (managed by the cloud service provider). The use of hybrid cloud enables electronic health records to be exchanged between medical institutions and supports multipurpose usage of electronic health records. Along with the benefits, cloud-based electronic health records also raise the problems of security and privacy specifically in terms of electronic health records access. A comprehensive and exploratory analysis of privacy-preserving solutions revealed that most current systems do not support fine-grained access control or consider additional factors such as privacy preservation and relationship semantics. In this article, we investigated the need of a privacy-aware fine-grained access control model for the hybrid cloud. We propose a privacy-aware relationship semantics–based XACML access control model that performs hybrid relationship and attribute-based access control using extensible access control markup language. The proposed approach supports fine-grained relation-based access control with state-of-the-art privacy mechanism named Anatomy for enhanced multipurpose electronic health records usage. The proposed (privacy-aware relationship semantics–based XACML access control model) model provides and maintains an efficient privacy versus utility trade-off. We formally verify the proposed model (privacy-aware relationship semantics–based XACML access control model) and implemented to check its effectiveness in terms of privacy-aware electronic health records access and multipurpose utilization. Experimental results show that in the proposed (privacy-aware relationship semantics–based XACML access control model) model, access policies based on relationships and electronic health records anonymization can perform well in terms of access policy response time and space storage.

scholarly journals Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records

2020 ◽  
Vol 6 ◽  
pp. e323
Author(s):  
Fahad F. Alruwaili
Keyword(s):  
Artificial Intelligence ◽  
Electronic Health Records ◽  
Privacy Preservation ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Health Records ◽  
Agent Based ◽  
Distributed Ledger ◽  
Multi Agent ◽  
Electronic Health

Background Application of Artificial Intelligence (AI) and the use of agent-based systems in the healthcare system have attracted various researchers to improve the efficiency and utility in the Electronic Health Records (EHR). Nowadays, one of the most important and creative developments is the integration of AI and Blockchain that is, Distributed Ledger Technology (DLT) to enable better and decentralized governance. Privacy and security is a critical piece in EHR implementation and/or adoption. Health records are updated every time a patient visits a doctor as they contain important information about the health and wellbeing of the patient and describes the history of care received during the past and to date. Therefore, such records are critical to research, hospitals, emergency rooms, healthcare laboratories, and even health insurance providers. Methods In this article, a platform employing the AI and the use of multi-agent based systems along with the DLT technology for privacy preservation is proposed. The emphasis of security and privacy is highlighted during the process of collecting, managing and distributing EHR data. Results This article aims to ensure privacy, integrity and security metrics of the electronic health records are met when such copies are not only immutable but also distributed. The findings of this work will help guide the development of further techniques using the combination of AI and multi-agent based systems backed by DLT technology for secure and effective handling EHR data. This proposed architecture uses various AI-based intelligent based agents and blockchain for providing privacy and security in EHR. Future enhancement in this work can be the addition of the biometric based systems for improved security.

Privacy preservation and information security protection for patients’ portable electronic health records

2009 ◽  
Vol 39 (9) ◽  
pp. 743-750 ◽  
Author(s):  
Lu-Chou Huang ◽  
Huei-Chung Chu ◽  
Chung-Yueh Lien ◽  
Chia-Hung Hsiao ◽  
Tsair Kao
Keyword(s):  
Information Security ◽  
Electronic Health Records ◽  
Privacy Preservation ◽  
Health Records ◽  
Electronic Health

Secondary use of electronic health records: Availability aspects in two Nordic countries

2018 ◽  
Vol 48 (3) ◽  
pp. 144-151
Author(s):  
Antti Vikström ◽  
Hans Moen ◽  
Sanaz Rahimi Moosavi ◽  
Tapio Salakoski ◽  
Sanna Salanterä
Keyword(s):  
Electronic Health Records ◽  
Privacy Preservation ◽  
Academic Research ◽  
Patient Privacy ◽  
Structured Interviews ◽  
Secondary Users ◽  
Health Records ◽  
Domain Experts ◽  
Secondary Use ◽  
Electronic Health

Background: The potential for the secondary use of electronic health records (EHRs) is underused due to restrictions in national legislation. For privacy purposes, legislative restrictions limit the availability and content of EHR data provided to secondary users. These limitations do not encourage healthcare organisations to develop procedures to promote the secondary use of EHRs. Objective: The objective of this study is to identify factors that restrict the secondary use of unstructured EHRs in academic research in Finland and Sweden. Method: A study was conducted to identify these availability-restricting issues that pertain to the academic secondary use of unstructured EHRs. Using semi-structured interviews, 14 domain experts in science, hospital management and business were interviewed to evaluate the efficiency of procedures and technologies that are implemented in secondary use processes. Results: The results demonstrate three aspects that restrict the availability of unstructured EHRs for secondary purposes: (i) the management and (ii) privacy preservation of such data as well as (iii) potential secondary users. Conclusion: Based on these categories, two approaches for the secondary use of unstructured EHRs are identified: the protected processing environment and altered data. Implications: The protected processing environment ensures patient privacy by providing unstructured EHRs for exclusive user groups that have preferred use intentions. Compared to the use of such processing environments, data alteration enables the secondary use of unstructured EHRs for a larger user group with various use intentions but that yield less valuable content.

Electronic health records: Context matters!

2016 ◽  
Vol 34 (2) ◽  
pp. 163-165 ◽  
Author(s):  
William B. Ventres ◽  
Richard M. Frankel
Keyword(s):  
Electronic Health Records ◽  
Health Records ◽  
Electronic Health
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