• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.7
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• pp.2225-2238
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• 2022

For advanced healthcare services, a variety of agents should maintain reliable connections with the manager and communicate personal health and medical information. The ISO/IEEE 11073 standards provide convenient interoperability and the optimized exchange protocol (OEP) supports efficient communication for devices. However, the standard does not specify secure communication, and sensitive personal information is easily exposed through attacks. Malicious attacks may lead to the worst results owing to service errors, service suspension, and deliberate delays. All possible attacks on the communication are analyzed in detail, and the damage is specifically identified. In this study, novel secure communication schemes over the 20601 OEP are proposed by introducing an authentication process while maintaining compatibility with existing devices. The agent performs a secure association with the manager for mutual authentication. However, communication with mutual authentication is not completely free from attacks. Message encryption schemes are proposed for concrete security. The authentication process and secure communication schemes between the secure registered agent (SRA) and the secure registered manager (SRM) are implemented and verified. The experimental analysis shows that the complexities of the SRA and SRM are not significantly different from those of the existing agent and manager.

• ETRI Journal
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• v.44 no.1
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• pp.135-146
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• 2022

The importance of big data analytics has become apparent with the increasing volume of data on the Internet. The amount of data will increase even more with the widespread use of Internet of Things (IoT). One of the most important application areas of the IoT is healthcare. This study introduces new real-time data analytics architecture for an IoT-based smart healthcare system, which consists of a wireless sensor network and a radio-frequency identification technology in a vertical domain. The proposed platform also includes high-performance data analytics tools, such as Kafka, Spark, MongoDB, and NodeJS, in a horizontal domain. To investigate the performance of the system developed, a diagnosis of Wolff-Parkinson-White syndrome by logistic regression is discussed. The results show that the proposed IoT data analytics system can successfully process health data in real-time with an accuracy rate of 95% and it can handle large volumes of data. The developed system also communicates with a riverbed modeler using Transmission Control Protocol (TCP) to model any IoT-enabling technology. Therefore, the proposed architecture can be used as a time-saving experimental environment for any IoT-based system.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.203-213
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• 2013

In the current legal system, establishing aging friendly smart home based on healthcare for the senior people over 65 seems hard to be achieved. For these reasons, this study is intended to explore the improvements in the legal system using the comparative analysis in the domestic and foreign legal systems. The related legal system is divided into three sections - 'healthcare,' 'aging friendly,' and 'smart home' - providing that telemedicine would be implemented. According to the analysis of the legal system for healthcare, telemedicine is executed by the medical law. Thus, we need to investigate the concept and all the matters of telemedicine on the basis of foreign cases. As the result of the analysis of the legal system for 'Aging Friendly,' the definition of the elderly is ambiguous and we find the improvement of health and medical system. In addition to these, the definite bounds of the healthcare equipment have to be set. From these results, we are aware of the necessity of the improvements of the legal system, and suggest plans for these problems. That is to organize the legal system and make a new law through revising the current specific identification. This study focuses on suggesting the improvements of the legal system with the comparative analysis of the domestic and foreign legal systems.

• The Korean Journal of Emergency Medical Services
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• v.22 no.3
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• pp.7-34
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• 2018

Purpose: The purposes of this research were to study the validity of the National Examination based on smart based test(SBT) by 7 types of healthcare occupation. Methods: We conducted a questionnaires survey among 1,219 people including 210 professors for all 7 types of healthcare occupation and 573 clinical specialists ; 436 students from random sampling participated and the reliability of the questionnaire was tested using Cronbach's alpha. Results: Professors from 7 types of healthcare occupation were investigated for their opinions on the introduction of the SBT system ; 65.9% of the professors answered positively on the introduction of the SBT National Examination System, while 40.1% of the clinical experts answered likewise. In particular, professors and the clinical experts recognized altogether that the multimedia questionnaire, being effective for the evaluation of clinical and practical competence of the subjects, enabling the evaluation of various areas and strengthening the school education in clinical practices, the 42.0% of the students from 7 departments answered that the future direction of the national test is in the SBT test system with significant difference (p=.000) found in students majoring in order of Emergency Medical Services, Radiology and Physical therapy, compared to students from other majors, showing the positive response to the SBT system. Conclusion: The results of this study comprehensively evaluated the positive recognition of development of multimedia items and SBT system in national examination of 7 types of healthcare occupation in professors, field specialists and students.

• Smart Media Journal
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• v.2 no.2
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• pp.20-27
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• 2013

The concept of social media is top of the agenda for many business executives and decision makers, as well as consultants try to identify ways where companies can make profitable use of applications such as Netflix, Flixster. The social media is playing an increasingly important role as the information sources for customers making product choices etc. With the flourish of Web 2.0 technology, customer reviews are becoming more and more useful and important information resources for people to save their time and energy on purchasing products that they want. This paper proposes the Bayesian Probabilistic Classification algorithm to mine the social media review, and evaluates it by different splits and cross validation mechanism from the real data set. The explored study experimental results show the robustness and effectiveness of proposed approach for mining the social media review.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.313-314
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• 2015

홈 헬스케어 서비스를 위해서는 다양한 개인건강기기를 기반으로 사용자의 신체 상태를 측정하고 측정된 값을 적절하게 전송하는 시스템간의 통신과 인터페이스가 매우 중요한 요소이다. 그리고 개인 건강기기의 데이터를 이용한 상호운용성 확보를 위해서는 홈 헬스케어 의료기기와 홈 헬스케어 서버/게이트웨이 간의 ISO/IEEE 11073 표준을 만족해야 한다. 따라서, 본 논문에서는 스마트 TV환경 기반의 헬스케어 서비스를 제공하기 위해, 홈 헬스케어 시스템에서 Bluetooth HDP를 통해 개인 건강기기와의 IEEE 11073 표준 연결성에 대해 연구하였다.

• Journal of the Korea Convergence Society
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• v.1 no.1
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• pp.49-55
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• 2010

As the developing of the information communication technology, more and more devices are with the capacity of communication and networking. The convergence businesses which communicate with the devices have been developing rapidly. The IT convergence communication is viewed as one of the next frontiers in wireless communications. In this paper, we analyze detailed security threats against M2M(Machine to Machine), intelligent vehicle, smart grid and u-Healthcare in IT convergence architecture. We proposed a direction of the IT convergence security that imbedded system security, forensic security, user authentication and key management scheme.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.763-766
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• 2015

Smart Healthcare System as an Open Platform (Shesop) is an integrated healthcare system and have several features, one of them is Steppy Application. Steppy does count your step and display on Shesop website. In this system security issues are not properly addressed, while Personal Health Record (PHR) patient stored in the cloud platform could be at risk. In fact, the huge electronic information available online, people needs reliable and effective technique for privacy preserving. In order to improve the security of data which are displayed on the Shesop website, so that anyone who access could not tamper without permission. Recently Xu et al. showed a pseudonym scheme using smart card as a solution in e-health systems which uses discrete logarithm problem with cyclic group. In this paper, we adopt their scheme and use it application into smartphone using Near Field Communication (NFC) to construct security in Steppy apps.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.161-168
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• 2018

Recently, the bio-sensing information systems for collecting and analysing human body information of a patient in real time in the field of medical information and healthcare information service are continuously increasing. Specially, various wearable devices such as a wrist, a garment, and a skin attachment type for supporting health information of a mobile user are rapidly increasing. Until now, there is no patch-type biometric information service model. Therefore, this paper presents a biometric information system model and the application examples to support biometric information sensing and health information service of mobile user with digital patch system as a new biometric information system. As a result, through this research, research issues based on digital patch system are searched to suggest the direction of continuous research.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.544-546
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• 2020

의료 데이터를 이용하여 인공지능 기계학습 연구를 수행할 때 자주 마주하는 문제는 데이터 불균형, 데이터 부족 등이며 특히 정제된 충분한 데이터를 구하기 힘들다는 것이 큰 문제이다. 본 연구에서는 이를 해결하기 위해 GAN(Generative Adversarial Network) 기반 고해상도 의료 영상을 생성하는 프레임워크를 개발하고자 한다. 각 해상도 마다 Scale 의 Gradient 를 동시에 학습하여 빠르게 고해상도 이미지를 생성해낼 수 있도록 했다. 고해상도 이미지를 생성하는 Neural Network 를 고안하였으며, PGGAN, Style-GAN 과의 성능 비교를 통해 제안된 모델이 양질의 고해상도 의료영상 이미지를 더 빠르게 생성할 수 있음을 확인하였다. 이를 통해 인공지능 기계학습 연구에 있어서 의료 영상의 데이터 부족, 데이터 불균형 문제를 해결할 수 있는 Data augmentation 이나, Anomaly detection 등의 연구에 적용할 수 있다.