Ensuring authentication in Medical Cyber-Physical Systems: A comprehensive literature review of blockchain technology integration with machine learning
Medical Cyber-Physical Systems (MCPS) are increasingly prevalent in an era of rapid technological advancement. They hold significant importance for patients and healthcare professionals, as they leverage cyber-physical systems (CPS). These systems generate substantial amounts of big data, posing cha...
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Veröffentlicht in: | Multimedia tools and applications 2024-04, Vol.83 (12), p.35673-35707 |
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description | Medical Cyber-Physical Systems (MCPS) are increasingly prevalent in an era of rapid technological advancement. They hold significant importance for patients and healthcare professionals, as they leverage cyber-physical systems (CPS). These systems generate substantial amounts of big data, posing challenges for processing and storage. Furthermore, they face vulnerabilities to cyber-attacks. With multiple parties involved, concerns arise regarding authentication processes and safeguarding against unauthorized access. To address these issues, Blockchain technology is employed to enhance system authentication and protect medical data. The integration of Blockchain and machine learning further improves the efficiency of big data processing in MCPS. This paper provides a comprehensive review of recent studies focusing on the integration of Blockchain technology with Medical Cyber-Physical Systems (MCPS) and its application in the medical field. The reviewed studies shed light on various aspects of utilizing Blockchain to enhance the security and efficiency of MCPS and protect medical data. Through these studies, several unresolved weaknesses, concerns and proposed solutions have been identified in the integration of Blockchain with Medical Cyber-Physical Systems (MCPS). |
doi_str_mv | 10.1007/s11042-023-17065-3 |
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They hold significant importance for patients and healthcare professionals, as they leverage cyber-physical systems (CPS). These systems generate substantial amounts of big data, posing challenges for processing and storage. Furthermore, they face vulnerabilities to cyber-attacks. With multiple parties involved, concerns arise regarding authentication processes and safeguarding against unauthorized access. To address these issues, Blockchain technology is employed to enhance system authentication and protect medical data. The integration of Blockchain and machine learning further improves the efficiency of big data processing in MCPS. This paper provides a comprehensive review of recent studies focusing on the integration of Blockchain technology with Medical Cyber-Physical Systems (MCPS) and its application in the medical field. The reviewed studies shed light on various aspects of utilizing Blockchain to enhance the security and efficiency of MCPS and protect medical data. Through these studies, several unresolved weaknesses, concerns and proposed solutions have been identified in the integration of Blockchain with Medical Cyber-Physical Systems (MCPS).</description><subject>Authentication</subject><subject>Big Data</subject><subject>Blockchain</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Cryptography</subject><subject>Cyber-physical systems</subject><subject>Cybersecurity</subject><subject>Data processing</subject><subject>Data Structures and Information Theory</subject><subject>Literature reviews</subject><subject>Machine learning</subject><subject>Multimedia Information Systems</subject><subject>Special Purpose and Application-Based Systems</subject><subject>Track 2: Medical Applications of Multimedia</subject><issn>1573-7721</issn><issn>1380-7501</issn><issn>1573-7721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kdtKxDAQhosoeHwBrwJeV3Nok613sngCRUG9Dmk63Ua7yZqkSp_E1zW7FfTKq5mB-b85_Fl2TPApwVicBUJwQXNMWU4E5mXOtrI9UgqWC0HJ9p98N9sP4RVjwkta7GVflzYM3tgFUkPswEajVTTOImPRPTSp6tF8rMHnj90YNuXTGCIswzm6QNotVx6SLJgPQL2J4FUcPCAPHwY-kWtR3Tv9pjuVeBF0Z13vFmOiR1j4adKniR1aKt0ZmxigvE3rHGY7reoDHP3Eg-zl6vJ5fpPfPVzfzi_ucs1IFXNONee0EoTXMCt0QxtCGgHpNEZ0gbnWpaoLrhsC0FZVLViNZ1S0bTVrS1rP2EF2MnFX3r0PEKJ8dYO3aaRkmOGKc1zR1EWnLu1dCB5aufJmqfwoCZZrA-RkgEwGyI0BkiURm0RhtX4w-F_0P6pvvNeMlg</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Al-Ghuraybi, Hind A.</creator><creator>AlZain, Mohammed A.</creator><creator>Soh, Ben</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-5374-5960</orcidid></search><sort><creationdate>20240401</creationdate><title>Ensuring authentication in Medical Cyber-Physical Systems: A comprehensive literature review of blockchain technology integration with machine learning</title><author>Al-Ghuraybi, Hind A. ; AlZain, Mohammed A. ; Soh, Ben</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-62c6629716be84cd2d11d7e52431c406cc5ab46cd1eef99b73b0827ff98f52b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Authentication</topic><topic>Big Data</topic><topic>Blockchain</topic><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Cryptography</topic><topic>Cyber-physical systems</topic><topic>Cybersecurity</topic><topic>Data processing</topic><topic>Data Structures and Information Theory</topic><topic>Literature reviews</topic><topic>Machine learning</topic><topic>Multimedia Information Systems</topic><topic>Special Purpose and Application-Based Systems</topic><topic>Track 2: Medical Applications of Multimedia</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Al-Ghuraybi, Hind A.</creatorcontrib><creatorcontrib>AlZain, Mohammed A.</creatorcontrib><creatorcontrib>Soh, Ben</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Multimedia tools and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Al-Ghuraybi, Hind A.</au><au>AlZain, Mohammed A.</au><au>Soh, Ben</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ensuring authentication in Medical Cyber-Physical Systems: A comprehensive literature review of blockchain technology integration with machine learning</atitle><jtitle>Multimedia tools and applications</jtitle><stitle>Multimed Tools Appl</stitle><date>2024-04-01</date><risdate>2024</risdate><volume>83</volume><issue>12</issue><spage>35673</spage><epage>35707</epage><pages>35673-35707</pages><issn>1573-7721</issn><issn>1380-7501</issn><eissn>1573-7721</eissn><abstract>Medical Cyber-Physical Systems (MCPS) are increasingly prevalent in an era of rapid technological advancement. They hold significant importance for patients and healthcare professionals, as they leverage cyber-physical systems (CPS). These systems generate substantial amounts of big data, posing challenges for processing and storage. Furthermore, they face vulnerabilities to cyber-attacks. With multiple parties involved, concerns arise regarding authentication processes and safeguarding against unauthorized access. To address these issues, Blockchain technology is employed to enhance system authentication and protect medical data. The integration of Blockchain and machine learning further improves the efficiency of big data processing in MCPS. This paper provides a comprehensive review of recent studies focusing on the integration of Blockchain technology with Medical Cyber-Physical Systems (MCPS) and its application in the medical field. The reviewed studies shed light on various aspects of utilizing Blockchain to enhance the security and efficiency of MCPS and protect medical data. 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subjects | Authentication Big Data Blockchain Computer Communication Networks Computer Science Cryptography Cyber-physical systems Cybersecurity Data processing Data Structures and Information Theory Literature reviews Machine learning Multimedia Information Systems Special Purpose and Application-Based Systems Track 2: Medical Applications of Multimedia |
title | Ensuring authentication in Medical Cyber-Physical Systems: A comprehensive literature review of blockchain technology integration with machine learning |
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