Secure Cloud Storage Architecture for Digital Medical Record in Cloud Environment Using Blockchain

Sharma, Saurabh; Mishra, Ashish Kumar; Lala, Ajay; Singhai, Deeksha

doi:10.2139/ssrn.3565922

Cited by 12 publications

(4 citation statements)

References 1 publication

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“…Because of these features, the blockchain is the most likely candidate to deliver cloud data security. According to the findings of this study, blockchain technology can be used in the cloud for secure transmission of healthcare data [20][21][22][23]. The health sector is a major concern for both developing and developed countries, as this sector is directly related to people's social well-being and life.…”

Section: Introductionmentioning

confidence: 99%

Perceived Security Risk Based on Moderating Factors for Blockchain Technology Applications in Cloud Storage to Achieve Secure Healthcare Systems

Jawarneh¹,

Alshar’e²,

Bhargava

et al. 2022

Computational and Mathematical Methods in Medicine

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Due to the high amount of electronic health records, hospitals have prioritized data protection. Because it uses parallel computing and is distributed, the security of the cloud cannot be guaranteed. Because of the large number of e-health records, hospitals have made data security a major concern. The cloud’s security cannot be guaranteed because it uses parallel processing and is distributed. The blockchain (BC) has been deployed in the cloud to preserve and secure medical data because it is particularly prone to security breaches and attacks such as forgery, manipulation, and privacy leaks. An overview of blockchain (BC) technology in cloud storage to improve healthcare system security can be obtained by reading this paper. First, we will look at the benefits and drawbacks of using a basic cloud storage system. After that, a brief overview of blockchain cloud storage technology will be offered. Many researches have focused on using blockchain technology in healthcare systems as a possible solution to the security concerns in healthcare, resulting in tighter and more advanced security requirements being provided. This survey could lead to a blockchain-based solution for the protection of cloud-outsourced healthcare data. Evaluation and comparison of the simulation tests of the offered blockchain technology-focused studies can demonstrate integrity verification with cloud storage and medical data, data interchange with reduced computational complexity, security, and privacy protection. Because of blockchain and IT, business warfare has emerged, and governments in the Middle East have embraced it. Thus, this research focused on the qualities that influence customers’ interest in and approval of blockchain technology in cloud storage for healthcare system security and the aspects that increase people’s knowledge of blockchain. One way to better understand how people feel about learning how to use blockchain technology in healthcare is through the United Theory of Acceptance and Use of Technology (UTAUT). A snowball sampling method was used to select respondents in an online poll to gather data about blockchain technology in Middle Eastern poor countries. A total of 443 randomly selected responses were tested using SPSS. Blockchain adoption has been shown to be influenced by anticipation, effort expectancy, social influence (SI), facilitation factors, personal innovativeness (PInn), and a perception of security risk (PSR). Blockchain adoption and acceptance were found to be influenced by anticipation, effort expectancy, social influence (SI), facilitating conditions, personal innovativeness (PInn), and perceived security risk (PSR) during the COVID-19 pandemic, as well as providing an overview of current trends in the field and issues pertaining to significance and compatibility.

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Section: Introductionmentioning

confidence: 99%

Perceived Security Risk Based on Moderating Factors for Blockchain Technology Applications in Cloud Storage to Achieve Secure Healthcare Systems

Jawarneh¹,

Alshar’e²,

Bhargava

et al. 2022

Computational and Mathematical Methods in Medicine

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“…The multi-objective function achieves optimal key generation. Equation ( 13) represents the parameters such as data preservation, hiding ratio, and modification degree [25].…”

Section: Last Objective Functionmentioning

confidence: 99%

A Cloud Privacy-Preserving Model Using Gaussian Mutation-Based Bacterial Foraging Optimization and Genetic Crossover Operation

Anand¹,

Vijayaraj

2021

Preprint

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The necessity of security in the cloud system increases day by day in which the data controllers harvest the rising personal and sensitive data volume.The cloud has some unprotected private data as well as data that has been outsourced for public access, which is crucial for cloud security statements. An advanced legal data protection constraint is required due to the resultant of repeated data violations. While dealing with sensitive data, most of the existing techniques failed to handle optimal privacy and different studies were performed to take on cloud privacy preservation. Hence, the novel model of privacy preservation in the cloud and artificial intelligence (AI) techniques were used to tackle these challenges. These AI methods are insight-driven, strategic, and more efficient organizations in cloud computing. However, the cost savings, agility, higher flexibility businesses are offered with cloud computing by data hosting. Data cleansing and restoration are the two major steps involved in the proposed privacy replica. In this study, we proposed Chaotic chemotaxis and Gaussian mutation-based Bacterial Foraging Optimization with genetic crossover operation (CGBFO- GC) algorithm for optimal key generation. Deriving the multi-objective function parameters namely data preservation ratio, hiding ratio, and modification degree that accomplishes optimal key generation using CGBFO- GC algorithm. Ultimately, the proposed CGBFO- GC algorithm provides more efficient performance results in terms of cloud security than an existing method such as SAS-DPSO, CDNNCS, J-SSO, and GC.

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“…Hyunsang Choi [5] in the paper, IN this paper they are using black box which detect the XSS in both the way static and dynamic also in this paper we can login to give a proper input in URLs does not need to crawl or fuzz URLs. Phantoms, a headless browser to execute a JavaScript and detect XSS vulnerabilities…”

Section: Literature Reviewmentioning

confidence: 99%

“…This review paper is based on XSS attacker, XSS attacker sent the malicious link in the web application, and with the help of that malicious link, all the personal data of the victim's come to the attacker web site. This XSS attacker can steal the data from the abuse of the browser, and also stealing the data from cookie's data (which can be used to supplant the client's session) and many other actions [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Scanning the Database With the XSS Detection Using the Fitness Algorithm

Dwivedi¹

2020

IJMLNCE

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In this paper, we provide anoverview of the tool used in XSS detection. This tool helps us to detect the XSS attacker. XSS is the malware which helps the attacker to attack in any web-application and stolen the client data from the server, which the client or customer is storage when even the fill form in that web application. We analyze a new and efficient algorithm that helps us to secure the database for the server-side. The Genetic Fitness Algorithm is used to secure the database for the server-side, there are many algorithms like multi-path, crossover which is used to detect the XSS attacker but this algorithm is not accurate and satisfied the database security.We will analyze the genetic fitness algorithm and have many properties to achieve security for the database. It is complicated for which it is difficult for any attackers to break the security and steal the data from the server site.

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Secure Cloud Storage Architecture for Digital Medical Record in Cloud Environment Using Blockchain

Cited by 12 publications

References 1 publication

Perceived Security Risk Based on Moderating Factors for Blockchain Technology Applications in Cloud Storage to Achieve Secure Healthcare Systems

Perceived Security Risk Based on Moderating Factors for Blockchain Technology Applications in Cloud Storage to Achieve Secure Healthcare Systems

A Cloud Privacy-Preserving Model Using Gaussian Mutation-Based Bacterial Foraging Optimization and Genetic Crossover Operation

Scanning the Database With the XSS Detection Using the Fitness Algorithm

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