{"title":"用于医疗保健领域 ORAP 验证和数据安全的改进型区块链框架","authors":"Parag Rastogi, Devendra Singh, Sarabjeet Singh Bedi","doi":"10.1007/s12652-024-04780-4","DOIUrl":null,"url":null,"abstract":"<p>Currently, the move from traditional healthcare to smart healthcare systems is greatly aided by current technology. Healthcare proposes a new healthcare model that is patient-centered using advancements in wearable sensors, connectivity, and the Internet of Things (IoT). The administration of enormous amounts of data, including reports and pictures of every individual, increases human labour requirements and security hazards. This study shows how a blockchain-based Internet of Things might improve patient care while lowering costs by using medical resources more wisely. Initially, Resource Provider’s IoT data will be sensed and encrypts using Diffie Hellman Galois–Elliptic-curve cryptography (DHG-ECC). Next, from the extracted attributes, the optimal features will be selected by using Pearson Correlation Coefficient based Sand Cat Optimization Algorithm (PCC-SCOA). After that, the selected optimal features will be combined and converted into hashcode using the Digit Folding–Streebog Hashing algorithm. This hashcode will be constructed in the form of Smart Contract. Next, the Resource Requester (Doctor or Nurse) sends the Role Request with the Combined Linear Congruential Generator–Digital Signature Algorithm (CLCG-DSA). The next Resource Requester will be matching the hashed access policy with Blockchain. The proposed models are used to compare the performance of proposed design using feature selection time, Encryption time, Decryption time, security level, signature creation time and signature verification time. Our proposed method DHGECC approach achieves 96.123% higher security.</p>","PeriodicalId":14959,"journal":{"name":"Journal of Ambient Intelligence and Humanized Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An improved blockchain framework for ORAP verification and data security in healthcare\",\"authors\":\"Parag Rastogi, Devendra Singh, Sarabjeet Singh Bedi\",\"doi\":\"10.1007/s12652-024-04780-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Currently, the move from traditional healthcare to smart healthcare systems is greatly aided by current technology. Healthcare proposes a new healthcare model that is patient-centered using advancements in wearable sensors, connectivity, and the Internet of Things (IoT). The administration of enormous amounts of data, including reports and pictures of every individual, increases human labour requirements and security hazards. This study shows how a blockchain-based Internet of Things might improve patient care while lowering costs by using medical resources more wisely. Initially, Resource Provider’s IoT data will be sensed and encrypts using Diffie Hellman Galois–Elliptic-curve cryptography (DHG-ECC). Next, from the extracted attributes, the optimal features will be selected by using Pearson Correlation Coefficient based Sand Cat Optimization Algorithm (PCC-SCOA). After that, the selected optimal features will be combined and converted into hashcode using the Digit Folding–Streebog Hashing algorithm. This hashcode will be constructed in the form of Smart Contract. Next, the Resource Requester (Doctor or Nurse) sends the Role Request with the Combined Linear Congruential Generator–Digital Signature Algorithm (CLCG-DSA). The next Resource Requester will be matching the hashed access policy with Blockchain. The proposed models are used to compare the performance of proposed design using feature selection time, Encryption time, Decryption time, security level, signature creation time and signature verification time. Our proposed method DHGECC approach achieves 96.123% higher security.</p>\",\"PeriodicalId\":14959,\"journal\":{\"name\":\"Journal of Ambient Intelligence and Humanized Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Ambient Intelligence and Humanized Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s12652-024-04780-4\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ambient Intelligence and Humanized Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12652-024-04780-4","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Computer Science","Score":null,"Total":0}
An improved blockchain framework for ORAP verification and data security in healthcare
Currently, the move from traditional healthcare to smart healthcare systems is greatly aided by current technology. Healthcare proposes a new healthcare model that is patient-centered using advancements in wearable sensors, connectivity, and the Internet of Things (IoT). The administration of enormous amounts of data, including reports and pictures of every individual, increases human labour requirements and security hazards. This study shows how a blockchain-based Internet of Things might improve patient care while lowering costs by using medical resources more wisely. Initially, Resource Provider’s IoT data will be sensed and encrypts using Diffie Hellman Galois–Elliptic-curve cryptography (DHG-ECC). Next, from the extracted attributes, the optimal features will be selected by using Pearson Correlation Coefficient based Sand Cat Optimization Algorithm (PCC-SCOA). After that, the selected optimal features will be combined and converted into hashcode using the Digit Folding–Streebog Hashing algorithm. This hashcode will be constructed in the form of Smart Contract. Next, the Resource Requester (Doctor or Nurse) sends the Role Request with the Combined Linear Congruential Generator–Digital Signature Algorithm (CLCG-DSA). The next Resource Requester will be matching the hashed access policy with Blockchain. The proposed models are used to compare the performance of proposed design using feature selection time, Encryption time, Decryption time, security level, signature creation time and signature verification time. Our proposed method DHGECC approach achieves 96.123% higher security.
期刊介绍:
The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to):
Pervasive/Ubiquitous Computing and Applications
Cognitive wireless sensor network
Embedded Systems and Software
Mobile Computing and Wireless Communications
Next Generation Multimedia Systems
Security, Privacy and Trust
Service and Semantic Computing
Advanced Networking Architectures
Dependable, Reliable and Autonomic Computing
Embedded Smart Agents
Context awareness, social sensing and inference
Multi modal interaction design
Ergonomics and product prototyping
Intelligent and self-organizing transportation networks & services
Healthcare Systems
Virtual Humans & Virtual Worlds
Wearables sensors and actuators