• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권5호
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• pp.1484-1502
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• 2023

The medical sector actively changes and implements innovative features in response to technical development and revolutions. Many of the most crucial elements in IoT-connected health services are safeguarding critical patient records from prospective attackers. As a result, BlockChain (BC) is gaining traction in the business sector owing to its large implementations. As a result, BC can efficiently handle everyday life activities as a distributed and decentralized technology. Compared to other industries, the medical sector is one of the most prominent areas where the BC network might be valuable. It generates a wide range of possibilities and probabilities in existing medical institutions. So, throughout this study, we address BC technology's widespread application and influence in modern medical systems, focusing on the critical requirements for such systems, such as trustworthiness, security, and safety. Furthermore, we built the shared ledger for blockchain-based healthcare providers for patient information, contractual between several other parties. The study's findings demonstrate the usefulness of BC technology in IoHT for keeping patient health data. The BDSA-IoHT eliminates 2.01 seconds of service delay and 1.9 seconds of processing time, enhancing efficiency by nearly 30%.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.9-16
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• 2024

AI or Artificial Intelligence has been a significant tool used in the organisational backgrounds for an effective improvement in the management methods. The processing of the information and the analysis of the data for the further achievement of heightened efficiency can be performed by AI through its data analytics measures. In the medical field, AI has been integrated for an improvement within the management of the medical services and to note a rise in the levels of customer satisfaction. With the benefits of reasoning and problem solving, AI has been able to initiate a range of benefits for both the consumers and the medical personnel. The main benefits which have been noted in the integration of AI would be integrated into the study. The issues which are noted with the integrated AI usage for the medical sector would also be identified in the study. Medical Image Processing has been seen to integrate 3D image datasets with the medical industry, in terms of Computed Tomography (CT) or Magnetic Resonance Imaging (MRI). The usage of such medical devices have occurred in the diagnosis of the patients, the development of guidance towards medical intervention and an overall increase in the medical efficiency. The study would focus on such different tools, adhered with AI for increased medical improvement.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.817-837
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• 2019

The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic.

• Journal of information and communication convergence engineering
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• 제8권2호
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• pp.129-135
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• 2010

Wireless sensor networks (WSNs) are an emerging technology and offers economically viable monitoring solution to many challenging applications. However, deploying new technology in hostile environment, without considering security in mind has often proved to be unreasonably unsecured. Apparently, security techniques face many critical challenges in WSNs like data security and secrecy due to its hostile deployment nature. In order to resolve security in WSNs, we propose a novel and efficient secure framework called TriSec: a secure data framework for wireless sensor networks to attain high level of security. TriSec provides data confidentiality, authentication and data integrity to sensor networks. TriSec supports node-to-node encryption using PingPong-128 stream cipher based-privacy. A new PingPong-MAC (PP-MAC) is incorporated with PingPong stream cipher to make TriSec framework more secure. PingPong-128 is fast keystream generation and it is very suitable for sensor network environment. We have implemented the proposed scheme on wireless sensor platform and our result shows their feasibility.

• 한국치위생학회지
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• 제20권6호
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• pp.809-817
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• 2020

Objectives: This study aimed to analyze the relationship between socioeconomic factors and the unmet dental care needs of the living alone and living with family elderly groups to confirm the differences in their influence. Methods: Data from the Korea Health Panel Study of 2016 were used to analyze a total of 4,987 individuals: 4,008 in living with family group and 979 in living alone group. Chi-square test and multiple logistic regression analyses were performed using SPSS Version 22 (p<0.05). Results: We observed that 16.5% and 28.3% of the participants from the living with family and living alone groups had unmet dental care needs, respectively, indicating that the living alone group had more unmet dental care needs. Income level, residential area, and healthcare security were significant factors related to the living with family group. In contrast, medical aid for healthcare security was a significant factor related to the living alone group (p<0.05). Conclusions: The results confirmed that socioeconomic factors that affect unmet dental care vary according to the living situation. Therefore, the government should identify the number of elderly individuals living alone, which is increasing annually. These individuals are vulnerable in almost all aspects, and the government should establish and implement appropriate oral healthcare policies to support them.

• International Journal of Computer Science & Network Security
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• 제22권12호
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• pp.245-251
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• 2022

In this paper, a high gain, broadband planar vivaldi antenna (PVA) by utilizing a broadband stripline feed is developed for wireless communication for IoT systems. The suggested antenna is designed by attaching a tapered-slot construction to a typical vivaldi antenna, which improves the antenna's radiation properties. The PVA is constructed on a low-cost FR4 substrate. The dimensions of the patch are 1.886λ₀×1.42λ₀×0.026λ₀, dielectric constant Ɛ_r=4.4, and loss tangent δ=0.02. The width of the feed line is reduced to improve the impedance bandwidth of the antenna. The computed reflection coefficient findings show that the suggested antenna has a 46.2% wider relative bandwidth calculated at a 10 dB return loss. At the resonance frequencies of 6.5 GHz, the studied results show an optimal gain of 5.82 dBi and 85% optimal radiation efficiency at the operable band. The optometric analysis of the proposed structure shows that the proposed antenna can achieve wide enough bandwidth at the desired frequency and hence make the designed antenna appropriate to work in satellite communication and medical internet of things (M-IoT) healthcare applications.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권3호
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• pp.411-427
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• 2010

Data sharing is an essential process for collaborative works particularly in the banking, finance and healthcare industries. These industries require many collaborative works with their internal and external parties such as branches, clients, and service providers. When data are shared among collaborators, security and privacy concerns becoming crucial issues and cannot be avoided. Privacy is an important issue that is frequently discussed during the development of collaborative systems. It is closely related with the security issues because each of them can affect the other. The tradeoff between privacy and security is an interesting topic that we are going to address in this paper. In view of the practical problems in the existing approaches, we propose a collaborative framework which can be used to facilitate concurrent operations, single point failure problem, and overcome constraints for two-party computation. Two secure computation protocols will be discussed to demonstrate our collaborative framework.

• 한국멀티미디어학회논문지
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• 제19권5호
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• pp.918-923
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• 2016

IoT should be considered security risk environments such as various platforms and services including smart devices that can be mounted on household electric appliances, healthcare, car, and heterogeneous networks that are connected to the Internet, cloud services and mobile Apps.. In this paper, we provide analysis of new security threats, caused by open-platform of IoT and sensors via the Internet. Also, we present the key recovery mechanism that is applied to IoT. It results to have compatibility with given research, reduces network overhead, and performs key recovery without depending on key escrow agencies or authorized party.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2009년도 춘계학술발표논문집
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• pp.730-733
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• 2009

This study focuses on the security issues of a handheld technology in auto vaccination scenario. Handheld or palm-based computing technology, commonly known as personal digital assistant (PDAs)are having tremendous impact in many personal, educational and business settings, the potential is particularly compelling for healthcare, specifically in the clinical settings. By exploring the development of the technology and its application, as well as the issue of its security would provide a better understanding of this technology.

• 융합보안논문지
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• 제11권4호
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• pp.3-9
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• 2011

의료정보 네트워크 구조상에서는 트래픽 소통경로를 따라 악성코드 침투와 보안차단기능이 수행된다. 본 연구는 의료정보시스템 Network 보안 Infrastructure는 어떤 구조와 기준으로 설계되어야하는가에 대한 방법론 개발을 위해 보안기능을 설계한다. 의료정보시스템의 기능 프레임워크는 인프라 구조와 기능에 대한 기본골격과 체계이다. 기능 프레임워크 설계는 네트워크 구조 전반에 대한 골격을 형성하며 보안 방법론의 기본 구조를 형성한다. 기능 프레임워크가 구축됨으로서 인프라구조와 응용기능이 구현되기 때문이다. 보안기능 영역기준에 따라 차별화된 보안기능이 수행되고 보안메커니즘이 가동됨을 본 연구를 통해 제시하고자한다. 향후 클라우드 컴퓨팅 과 u-헬스케어 서비스등 도래하는 새로운 의료정보 환경에 대비하여 본 연구가 의료정보보안에 활용되기를 기대한다.