Multi-data Multi-user End to End Encryption for Electronic Health Records Data Security in Cloud

Raj, B. S. Sahana; Venugopalachar, Sridhar

doi:10.1007/s11277-022-09666-2

Cited by 9 publications

(9 citation statements)

References 24 publications

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“…Technology companies must assess regulatory requirements and develop solutions that proactively embed compliance. Concurrently, innovations such as blockchain aim to revolutionize how medical data moves between parties through a fresh paradigm emphasizing security and effectiveness [33]. However, existing regulations may not necessarily accommodate such complex technologies.…”

Section: Compliance With Regulationsmentioning

confidence: 99%

“…Reliable cybersecurity, including user authentication and authorization, is important. An effective framework incorporates standards like ISO/TS 18308, HIPAA, and authentication-based access control to regulate EHR access [10], [33]. Properly implementing this framework can help mitigate vulnerabilities in securing patient data [26], [27].…”

Section: User Authentication and Authorization Systemmentioning

confidence: 99%

“…It incorporates digital signatures and blockchain technology to track data history and ensure the integrity of records. Digital signatures are used to verify any changes or additions, while blockchain technology ensures an immutable transaction record to safeguard sensitive health information in EHR systems [33]. The main point is that digital signatures were recommended to enhance the security of EHRs.…”

Section: Digital Signaturementioning

confidence: 99%

“…The recommended approach consists of standards defined in ISO/TS 18308 and HIPAA, which mandate the privacy and safeguarding of protected health information. Implementing routine data backup and recovery procedures is a key element of this framework to counter the threat of data loss [33]. Healthcare providers can ensure the availability of electronic health information by regularly backing up patient records and saving the data offline in multiple secure locations, even if primary storage systems encounter issues.…”

Section: Data Backup and Recoverymentioning

confidence: 99%

See 3 more Smart Citations

Uncovering Security Vulnerabilities in Electronic Medical Record Systems: A Comprehensive Review of Threats and Recommendations for Enhancement

Wijayanti,

Ujianto,

Rianto

2024

J. Ilm. Tek. Elektro Komput. Dan Inform

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Cybersecurity is a critical concern for healthcare organizations in the digital era, as patient data privacy faces significant risks from numerous vulnerabilities. Given the escalating cyberattacks in healthcare, understanding EMR system vulnerabilities has become imperative. This study aimed to find the main weaknesses in Electronic Health Record (EHR) systems and suggest proven methods to improve security and keep patient information private. Utilizing a cross-sectional analysis, we assessed the effectiveness of current security protocols against identified threats. We systematically reviewed 25 recent, high-quality articles (from 2020 to 2023) on EMR vulnerabilities, selected based on their relevance and the efficacy of their proposed solutions. Our analysis revealed that system architecture flaws and credential misuse represented the most significant threats, with hacking incidents most frequently targeting these weaknesses. The analysis identified six key threat categories to EMR security: compromised access, system architecture flaws, data sharing challenges, hacking, credential misuse, and non-compliance with regulations. This framework introduced a multi-layered defense strategy, unique in incorporating both technical and behavioral security measures. The study provided a novel framework combining technological and management safeguards, offering a fresh perspective on modern EMR vulnerabilities. The detailed threat categorization gave healthcare organizations a strategic basis for improved security planning and resource allocation. The actionable insights from this study could greatly enhance EMR security protocols in healthcare settings, potentially reducing data breaches and improving patient trust. Further research was warranted to test the effectiveness of the proposed framework across various healthcare environments.

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Section: Compliance With Regulationsmentioning

confidence: 99%

Section: User Authentication and Authorization Systemmentioning

confidence: 99%

Section: Digital Signaturementioning

confidence: 99%

Section: Data Backup and Recoverymentioning

confidence: 99%

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Uncovering Security Vulnerabilities in Electronic Medical Record Systems: A Comprehensive Review of Threats and Recommendations for Enhancement

Wijayanti,

Ujianto,

Rianto

2024

J. Ilm. Tek. Elektro Komput. Dan Inform

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“…When intimate and informative images, like medical, forensic, personal, etc., are stored in the cloud, it is essential to provide privacy and security to those images [1]. This can be achieved using steganography or encryption [2].…”

Section: Introductionmentioning

confidence: 99%

Reversible De-identification of Specific Regions in Biomedical Images and Secured Storage by Randomized Joint Encryption

Prabhavathi¹,

B²

2023

IJACSA

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In many circumstances, de-identification of a specific region of a biomedical image is necessary. Deidentification is used to hide the subject's identity or to prevent the display of the objectionable or offensive region(s) of the image. The concerned region can be blurred (de-identified) by using a suitable image processing technique guided by the regiondefining mask. The proposed method provides lossless blurring, which means the original image can be recovered fully with zero loss. The blurred image and the region-defining mask, along with the digital signature, are jointly encrypted to form the composite cipher matrix, and it is stored in the cloud for further distribution. The composite cipher matrix is decrypted to recover the blurred image by the conventional end user. Further, using the deblur key, the original image can be recovered with zero loss by the fully authorized special end users. On decryption, the digital signature is available for both types of end users. The proposed method uses randomized joint encryption using integer matrix keys in a finite field. The experimental results show that the proposed method achieves a reduction in the average execution time of encryption by 30 to 40 percent compared to its nearest competitor. Additionally, the proposed scheme achieves very nearly ideal performance with reference to the correlation coefficient, entropy, pixel change rate, and structural similarity index. Overall, the proposed algorithm performs substantially better than the other similar existing schemes for large-sized images.

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Security enhancement of the cloud paradigm using a novel optimized crypto mechanism

Singh

Jha²

2022

Multimed Tools Appl

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Multi-data Multi-user End to End Encryption for Electronic Health Records Data Security in Cloud

Cited by 9 publications

References 24 publications

Uncovering Security Vulnerabilities in Electronic Medical Record Systems: A Comprehensive Review of Threats and Recommendations for Enhancement

Uncovering Security Vulnerabilities in Electronic Medical Record Systems: A Comprehensive Review of Threats and Recommendations for Enhancement

Reversible De-identification of Specific Regions in Biomedical Images and Secured Storage by Randomized Joint Encryption

Security enhancement of the cloud paradigm using a novel optimized crypto mechanism

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