• Journal of Multimedia Information System
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• v.4 no.4
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• pp.205-210
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• 2017

This paper presents a verification watermarking applied to healthcare information management. The proposed method uses the whole region based on the public-key cryptograph, which is transformed by the DWT transform to integrity verification. Furthermore, the public-key cryptograph algorithm is used for the embedded watermark image. We adaptively select the upper bit-plane including the LSB parts of each block when the watermark is inserted.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.11-23
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• 2024

Triage is a practice of accurately prioritizing patients in emergency department (ED) based on their medical condition to provide them with proper treatment service. The variation in triage assessment among medical staff can cause mis-triage which affect the patients negatively. Developing ED triage system based on machine learning (ML) techniques can lead to accurate and efficient triage outcomes. This study aspires to develop a triage system using machine learning techniques to predict ED triage levels using patients' information. We conducted a retrospective study using Security Forces Hospital ED data, from 2021 through 2023 during Hajj period in Saudia Arabi. Using demographics, vital signs, and chief complaints as predictors, two machine learning models were investigated, naming gradient boosted decision tree (XGB) and deep neural network (DNN). The models were trained to predict ED triage levels and their predictive performance was evaluated using area under the receiver operating characteristic curve (AUC) and confusion matrix. A total of 11,584 ED visits were collected and used in this study. XGB and DNN models exhibit high abilities in the predicting performance with AUC-ROC scores 0.85 and 0.82, respectively. Compared to the traditional approach, our proposed system demonstrated better performance and can be implemented in real-world clinical settings. Utilizing ML applications can power the triage decision-making, clinical care, and resource utilization.

• Health Policy and Management
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• v.28 no.3
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• pp.202-209
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• 2018

Health care has two different facets. One is commodity and another is a right of human being. Health care as a commodity is utilized by demand approach in market. Demand is determined by economic factors such as price and income. From the last third of the 19th century until the early 1920s, priority of sickness insurance was replacing the income that workers lost as a result of illness and injury. By the 1920s, the capacity of applied biological and medical science was remarkably developed. Development of medical science stimulated the cost of medical care, and the burden of increased medical care cost required new role of medical care security system. In 1942, Beveridge report was published in United Kingdom, and health care was considered as a right of human being. In 1948, United Nations declared heath care as a right in the Universal Declaration of Human Right. In most countries introduced new medical care security policy based on health care as a right. The viewing health care as a commodity must be shifted toward need based care as a right. Need were understood to rest on demographic, epidemiological, scientific, and medical knowledge factors. Bring needed care to the population could best be achieved institutionally by a hierarchy of provider organizations, guided by planning bodies, which would provide comprehensive benefits. In Korea, health care in social health insurance (SHI) is considered as a commodity not a right. However, health policies under SHI must be need approach based on health care as a right. Mismatch between health policies and ideology of SHI made big troubles. It is important to realize ideology of SHI for good health policies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1046-1052
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• 2021

Artificial intelligence is being applied in various industrial fields to the development of the fourth industry and the construction of high-performance computing environments. In the medical field, deep learning learning such as cancer, COVID-19, and bone age measurement was performed using medical images such as X-Ray, MRI, and PET and clinical data. In addition, ICT medical fusion technology is being researched by applying smart medical devices, IoT devices and deep learning algorithms. Among these techniques, medical image-based deep learning learning requires accurate finding of medical image biomarkers, minimal loss rate and high accuracy. Therefore, in this paper, we would like to compare and analyze the performance of the Cross-Entropy function used in the image classification algorithm of the loss function that derives the loss rate in the chest X-Ray image-based deep learning learning process.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.11
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• pp.2874-2892
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• 2013

Since security plays an important role in several ZigBee applications, such as Smart Energy and medical sensor applications, ZigBee Specification includes various security mechanisms to protect ZigBee frames and infrastructure. Among them, the Join and Leave operations of ZigBee are investigated in this paper. The current Join-Leave operation is protected by the network key (a kind of group key). We claim it is not adequate to employ the network key for such purpose, and propose a new Join-Leave operation protected by the application link key (a kind of pairwise key), which is based on a more efficient key management scheme than that of ZigBee. Hence, the original Join operation consists of a total of 12 command frames, while the new Join operation consists of only 6 command frames. In particular, the security of the proposed Join-Leave operation is equivalent to or better than that of the original Join-Leave operation. The new Join-Leave operation is extensively analyzed in terms of security and efficiency, and compared with the original Join-Leave operation of ZigBee.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.7
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• pp.282-287
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• 2007

Information society is dramatically developing in the various areas of finance, trade, medical service, energy, and education using information system. Evaluation for risk analysis should be done before security management for information system and security risk analysis is the best method to safely prevent it from occurrence, solving weaknesses of information security service. In this paper, Modeling it did the evaluation-base CBD function it will be able to establish the evaluation plan of optimum. Evaluation-based CBD(case-based reasoning) functions manages a security risk analysis evaluation at project unit. it evaluate the evaluation instance for beginning of history degree of existing. It seeks the evaluation instance which is similar and Result security risk analysis evaluation of optimum about under using planning.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.3
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• pp.11-20
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• 2018

Smart devices refer to various devices and control equipment such as health care devices, imaging devices, motor devices and wearable devices that use wireless network communication (e.g., Wi-fi, Bluetooth, LTE). Commercial services using such devices are found in a wide range of fields, including home networks, health care and medical services, entertainment and toys. Studies on smart devices have also been actively undertaken by academia and industry alike, as the penetration rate of smartphones grew and the technological progress made with the fourth industrial revolution bring about great convenience for users. While services offered through smart devices come with convenience, there is also various security threats that can lead to financial loss or even a loss of life in the case of terrorist attacks. As attacks that are committed through smart devices tend to pick up where attacks based on wireless internet left off, more research is needed on related security topics. As such, this paper seeks to design an access control method for reinforced security for smart devices. After registering and authenticating the smart device from the user's smart phone and service provider, a safe communication protocol is designed. Then to secure the integrity and confidentiality of the communication data, a management process such as for device renewal or cancellation is designed. Safety and security of the existing systems against attacks are also evaluated. In doing so, an improved efficiency by approximately 44% compared to the encryption processing speed of the existing system was verified.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.279-284
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• 2013

Wireless access network section needs strong security which supports high data rate and mobility not to invade patient's privacy by exposing patient's sensitive biometric from automatic implantable device that is adapted to u-healthcare service. This paper builds test bed and performs assessment and measurement of security ability of WiMAX network to transmit and receive mobile patient's biometric by building WiMAX network in wireless access network not to expose paitne's biometirc at wireless access network section to the third person. Specially, this paper compares and assesses data security, MAC control message security, handover conection delay, and frame loss and bandwidth of ECDH at the layer of WiMAX security compliance, WiMAX MAC IPSec, and MAC.

• Convergence Security Journal
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• v.24 no.2
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• pp.55-61
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• 2024

With the development of IoT technology, wearable services have also developed rapidly. Wearable devices required for this service are used as sensors and controllers in the form of smart bands. Wearable devices implement very concise SWlogic for possible long-term use and use wireless communication protocols to improve convenience. However, because this wearable device aims to be lightweight, it is more vulnerable to security than terminals used for other information services. Many smart healthcare or smart medical services are passive or do not apply security technology. By exploiting this security environment, attackers can obtain or modify important information through access to wearable devices. In this study, we analyzed the technical operating environment of wearable services and identified authentication information reuse attacks, BIAS attacks, battery drain attacks and firmware attacks on wearable devices. And we analyzed the mechanism of each security threat and confirmed the attack effect. In this study, we presented a response plan to respond to the identified security threats. When developing wearable services, it is expected that safer services can be built if the response plan proposed in this study is considered.

• Korean Management Science Review
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• v.17 no.1
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• pp.145-158
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• 2000

The medical records of diagnostic and testing information include sensitive personal information that reveals some of the most intimate aspects of an individual's life. The hospital information system (HIS) operates in a state of high risk which may lead to the possible loss to the IS resources caused by various threats. This research addresses twofold : (1) to perform asset identification ad valuation and (2) to recommend countermeasures for secure HIS network using case studies This paper applied a risk management tool CRAMM (Central Computer and Tele-communications Agency's Risk Analysis and Management Method) to assess asset values and suggest countermeasures for the security of computerized medical information of two large hospitals in Korea. CRAMM countermeasures are recommended at the reference sites from the network security requirements of system utilized for the diagnosis and treatment of patients. The results of the study will enhance the awareness of IS risk management by IS managers.