• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.474-476
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• 2015

U-Healthcare는 언제 어디서나 환자의 생체 건강을 관리하고 유지할 수 있도록 하는 정보통신기술이다. U-Healthcare통신은 대부분 무선통신을 사용하여 검진 결과나 위급 시에 감지된 환자의 정보를 병원 서버로 전송한다. 이 때 U-Healthcare기기나 병원 서버에 악의적인 행위자가 DDoS공격을 하면 환자의 정보는 병원서버까지 전송되지 못해 병원의 도움을 받을 수 없는 상황이 발생된다. 이에 대응하기 위하여 본 논문은 U-Healthcare 통신 공격 패턴과 시나리오를 빅데이터로 구축한다. 그 후 악의적인 사용자가 U-Healthcare기기나 서버를 공격하면 DB와 연동하여 일치된 공격을 막을 수 있다. 앞으로 원격의료 서비스에서 나타날 수 있는 보안 위협을 알아보고, 빅데이터를 활용하여 보안 위협에 대응할 수 있는 방법을 제안한다.

• Korea Journal of Hospital Management
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• v.24 no.2
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• pp.56-66
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• 2019

PURPOSE: To demonstrate that the training of information protection for members at medical institutions increases the information protection activities of employees. METHODS: We used the chi-square test and the logistic regression model to analyze the data of the "Healthcare Information and Communication Status Survey in 2017" (n = 2002) conducted by the Korea Health Industry Development Institute RESULTS: As a result of the analysis, the information protection activity increased when the education was received and the number of received more than the education was not received. Especially, when the management receives education, it affects the information protection activities of the employees. CONCLUSION: In order to protect medical information, medical institutions need to provide education on information protection for management and employees.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.17-26
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• 2023

Blockchain technology has emerged as one of the most crucial solutions in numerous industries, including healthcare. The combination of blockchain technology and cloud computing results in improving access to high-quality telemedicine and healthcare services. In addition to developments in healthcare, the operational strategy outlined in Vision 2030 is extremely essential to the improvement of the standard of healthcare in Saudi Arabia. The purpose of this survey is to give a thorough analysis of the current state of healthcare technologies that are based on blockchain and cloud computing. We highlight some of the unanswered research questions in this rapidly expanding area and provide some context for them. Furthermore, we demonstrate how blockchain technology can completely alter the medical field and keep health records private; how medical jobs can detect the most critical, dangerous errors with blockchain industries. As it contributes to develop concerns about data manipulation and allows for a new kind of secure data storage pattern to be implemented in healthcare especially in telemedicine fields is discussed diagrammatically.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1256-1264
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• 2009

When unapproved users access to healthcare system and use medical information for other malicious purposes, it could severely threaten important information related to patients' life, because in ubiquitous environment healthcare service makes patient's various examination results, medical records or most information of a patient into data. Therefore, to solve these problems, we design RBAC(Role Based Access Control) for U-healthcare that can access control with location, time and context-awareness information like status information of user and protect patient's privacy. With implementation of the proposed model, we verify effectiveness of the access control model for healthcare in ubiquitous environment.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.702-705
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• 2010

요즘 현대인들의 최우선 관심사라고도 할 수 있는 '웰빙(Well-Being)'과 다가올 '고령사회'를 대비하여 유무선 네트워킹 기술을 활용하여 "언제 어디서나" 이용 가능한 건강관리 및 의료서비스가 필요하다. u-Healthcare 시스템을 이용하여 개인의 건강상태를 실시간으로 모니터링하고 치료나 관리가 필요한 적절한 시점에 자동으로 조치를 취하기 때문에 개인은 최상의 건강상태를 유지할 수 있고 편리한 한방 의료서비스를 제공받을 수 있다. 본 논문에서는 심전도(ECG), 혈압, 맥박 등의 생체신호 측정센서를 이용한 센서네트워크 기반 u-Healthcare 시스템을 설계하고 구현하였다. 센서노드에서 게이트웨이를 경유한 생체신호는 healthcare센터로 전송되며, 질환별 건강관리 표준 프로그램을 통하여 생체신호를 분석하고 예측된 병증에 관련된 운동요법, 식이요법, 한방요법 등의 정보를 환자에게 피드백하여 건강관리를 할 수 있게 하였다.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.193-197
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• 2013

Healthcare is one of the most concerned fields in convergence environments. The technologies related with information communication regions are progressing continuously. These technologies in today are converged with different industries in rapidly. Therefore, in this paper, we described current trends and future of healthcare services which was converged IT technology with medical industry.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1092-1095
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• 2012

IT융합기술인 U-Healthcare 서비스는 건강관리, 질병 예방, 사후관리 등 필요한 의료 서비스를 의료기관외의 장소에서 언제 어디서나 서비스를 제공받을 수 있다는 점에서 각광을 받고 있다. U-Healthcare 서비스에서 다루는 대다수의 정보는 개인정보 중에서도 민감한 개인의 건강정보를 포함하고 있어 개인정보보호에 대한 사회적 요구가 높아지는 시점에서 유출에 대한 피해 우려는 더 커지고 있다. 본 논문에서는 U-Healthcare 서비스에서 개인정보를 보호받을 수 있는 보안 요구사항을 도출해낸다. 이 연구를 통해 U-Healthcare 서비스의 보안 수준을 향상 시키고 일반 개인정보보다 피해가 큰 개인건강정보의 유출을 예방한다.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.221-228
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• 2017

With the recent development of IoT technology, medical services using IoT technology are increasing in many medical institutions providing health care services. However, as the number of IoT sensors attached to the user body increases, the healthcare information transmitted to the server becomes complicated, thereby increasing the time required for analyzing the user's healthcare information in the server. In this paper, we propose a deep learning based health care information management method to collect and process healthcare information in a server for a large amount of healthcare information delivered through a user - attached IoT device. The proposed scheme constructs a subnet according to the attribute value by assigning an attribute value to the healthcare information transmitted to the server, and extracts the association information between the subnets as a seed and groups them into a hierarchical structure. The server extracts optimized information that can improve the observation speed and accuracy of user's treatment and prescription by using deep running of grouped healthcare information. As a result of the performance evaluation, the proposed method shows that the processing speed of the medical service operated in the healthcare service model is improved by 14.1% on average and the server overhead is 6.7% lower than the conventional technique. The accuracy of healthcare information extraction was 10.1% higher than the conventional method.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.6
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• pp.1-10
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• 2008

Health medical service is passes with u-Healthcare and it promote health medical service environment change to the citizen center in the hospital center, and all methods of diagnosis, treatment, after management are forecasted in prevention because a balance develops. It is necessary for an u-Healthcare terminal is devoted to becoming an ubiquitous terminal of consciousness when in where and the following technology to result in implementation. Information communication equipment and an appliance technical data transfer technology Precision and how mobile gateway implementation, Bluetooth wireless appliance function is various with mobile communication and radio communication network and an appliance function are necessary. therefore, in this paper, we did a study on the implementation of bio signal measuring system for the u-healthcare based on mobile.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.187-193
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• 2017

Objects Internet-based healthcare services provide healthcare and healthcare services, including measurement of user's vital signs, diagnosis and prevention of diseases, through a variety of object internet devices. However, there is a problem that new security vulnerability can occur when inter-working with the security weakness of each element technology because the internet service based on the object Internet provides a service by integrating various element technologies. In this paper, we propose a user privacy protection model that can securely process user's healthcare information from a third party when delivering healthcare information of users using wearable equipment based on IoT in a mobile environment to a server. The proposed model provides attribute values for each healthcare sensor information so that the user can safely handle, store, and store the healthcare information, thereby managing the privacy of the user in a hierarchical manner. As a result of the performance evaluation, the throughput of IoT device is improved by 10.5% on average and the server overhead is 9.9% lower than that of the existing model.