• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.75-82
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• 2020

It is important to secure patient healthcare information in medical institutions. Education can enhance healthcare information security practice. The purpose of this study is to investigate the effect size of the correlation between healthcare information security education and healthcare information security practice in medical institutions. Systematic Review and Meta-Analysis were used for this study. Data were collected from January 1, 2010 to July 31, 2019 through DBpia, RISS, NDSL. Four studies were eligible for inclusion in the analysis. Data were analyzed with R. The results of the Meta-Analysis demonstrated statistically significant large effect size of correlation with education and practice. Based on the results of this study, we will be able to understand the importance of healthcare information security education in medical institutions and use them as a basis for developing healthcare information security education programs.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.7 no.1
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• pp.45-49
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• 2014

In this paper, we propose a secure and efficient RFID-based patient authentication protocol to not only authenticate patients' authenticity but also protect patients' personal medical informations for u-Healthcare environments. Since the proposed RFID-based patient authentication protocol provides strong security and efficiency, it can be used practically for patient authentication and personal medical information protection on the high technology medical environments such as u-Hospital and u-Healthcare.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.89-95
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• 2023

Analyzing breast cancer patient files is becoming an exciting area of medical information analysis, especially with the increasing number of patient files. In this paper, breast cancer data is collected from Khartoum state hospital, and the dataset is classified into recurrence and no recurrence. The data is imbalanced, meaning that one of the two classes have more sample than the other. Many pre-processing techniques are applied to classify this imbalanced data, resampling, attribute selection, and handling missing values, and then different classifiers models are built. In the first experiment, five classifiers (ANN, REP TREE, SVM, and J48) are used, and in the second experiment, meta-learning algorithms (Bagging, Boosting, and Random subspace). Finally, the ensemble model is used. The best result was obtained from the ensemble model (Boosting with J48) with the highest accuracy 95.2797% among all the algorithms, followed by Bagging with J48(90.559%) and random subspace with J48(84.2657%). The breast cancer imbalanced dataset was classified into recurrence, and no recurrence with different classified algorithms and the best result was obtained from the ensemble model.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.361-364
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• 2012

Through USN (Ubiquitous Sensor Network) is collected the patient's vital information in real-time, also information collected will be stored in the DB (Date Base), frequent use hospital saved patient's vital information for DB. Stored in the patient's vital medical information stored in the patients with frequent hospital patient to hospital if the patient's vital information is stored in DB. But, stored location is within hospital server or stored in a PC environment, because If utilize other Hospital existing hospitals will need to request. However, Existing hospital have problem for security, authentication, management, cost, manpower, such as, because other hospitals and the exchange of information does not come easily. So, If has the advantage of the patient and the patient's vital information is stored on mobile devices that you can use as DB. It is important to find information quickly and accurately, in this study, Is A study on mobile circulation loop DB systems for patient-centered serbices.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.6
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• pp.1551-1560
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• 2016

With the advancement of wearable devices and wireless body are networks, smart healthcare systems based on such technologies have been emerging to effectively monitor patient health and disease progression. In order to implement viable smart healthcare systems, the security and privacy of patient's personal health information must be considered. Yang et al. proposed a privacy-preserving authentication scheme using key-insulation technique for remote health monitoring system, however, key-insulation technique is not properly adapted to their scheme which in turn causes a security pitfall contrary to their assertions. Besides, Yang et al.'s scheme does not guarantee user anonymity against healthcare service provider. Therefore, in this paper, we discuss the security concerns for Yang et al.'s scheme and present an improved anonymous authentication scheme.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.204-210
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• 2019

Mobile Crowd Computing is one of the most efficient and effective way to collect the Electronic health records and they are very intelligent in processing them. Mobile Crowd Computing can handle, analyze and process the huge volumes of Electronic Health Records (EHR) from the high-performance Cloud Environment. Electronic Health Records are very sensitive, so they need to be secured, authenticated and processed efficiently. However, security, privacy and authentication of Electronic health records(EHR) and Patient health records(PHR) in the Mobile Crowd Computing Environment have become a critical issue that restricts many healthcare services from using Crowd Computing services .Our proposed Efficient Multi-layer Encryption Framework(MLEF) applies a set of multiple security Algorithms to provide access control over integrity, confidentiality, privacy and authentication with cost efficient to the Electronic health records(HER)and Patient health records(PHR). Our system provides the efficient way to create an environment that is capable of capturing, storing, searching, sharing, analyzing and authenticating electronic healthcare records efficiently to provide right intervention to the right patient at the right time in the Mobile Crowd Computing Environment.

• Convergence Security Journal
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• v.11 no.4
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• pp.43-49
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• 2011

Web-based health information provides a lot of conveniences, however the security vulnerabilities that appear in the network environment without the risk of exposure in the use of information are growing. Web-based medical information security issues when accessing only the technology advances, without attempting to seek a safe methodology are to increase the threat element. So it is required. to take advantage of web-based information security measures as a web-based access control security mechanism-based design. This paper is based on software architecture, design, ideas and health information systems were designed based on access control security mechanism. The methodologies are to derive a new design procedure, to design architecture and algorithms that make the mechanism functio n. To accomplish this goal, web-based access control for multiple patient information architecture infrastructures is needed. For this software framework to derive features that make the mechanism was derived based on the structure. The proposed system utilizes medical information, medical information when designing an application user retrieves data in real time, while ensuring integration of encrypted information under the access control algorithms, ensuring the safety management system design.

• Spatial Information Research
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• v.23 no.6
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• pp.89-98
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• 2015

In this study, The criteria for assessing the security-related functions and services using spatial information is deduced, and orders of priority a priority for the applicable alternatives of functions/services of intelligent security service application based on spatial information are suggested by calculating relative importance. Also this study suggested connection plan about service implementation of national security services by government ministry & local government. And, the intelligent security app service model which has possible substantiation and commercialization is proposed. This study performed the AHP as the final assessment criterions by 3 item in 1st class and 12 item in 2nd class. And, tried to implementation methods of the intelligent security service application(ex. control of emergency and the crime opportunity, real-time location tracking of protector, the device for missing child & dementia patient, user participation & provision of information).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.5
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• pp.967-979
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• 2013

Now a day, Wireless Sensor Networks (WSNs) are being widely used in different areas one of which is healthcare services. A wireless medical sensor network senses patient's vital physiological signs through medical sensor-nodes deployed on patient's body area; and transmits these signals to devices of registered medical professionals. These sensor-nodes have low computational power and limited storage capacity. Moreover, the wireless nature of technology attracts malicious minds. Thus, proper user authentication is a prime concern before granting access to patient's sensitive and private data. Recently, P. Kumar et al. claimed to propose a strong authentication protocol for healthcare using Wireless Medical Sensor Networks (WMSN). However, we find that P. Kumar et al.'s scheme is flawed with a number of security pitfalls. Information stored inside smart card, if extracted, is enough to deceive a valid user. Adversary can not only access patient's physiological data on behalf of a valid user without knowing actual password, can also send fake/irrelevant information about patient by playing role of medical sensor-node. Besides, adversary can guess a user's password and is able to compute the session key shared between user and medical sensor-nodes. Thus, the scheme looses message confidentiality. Additionally, the scheme fails to resist insider attack and lacks user anonymity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.154-155
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• 2013

This paper presents a user authentication scheme for healthcare application using wireless sensor networks, where wireless sensors are used for patients monitoring. These medical sensors' sense the patient body data and transmit it to the professionals. Since, the data of an individual are highly vulnerable; it must ensures that patients medical vital signs are secure, and are not exposed to an unauthorized person. In this regards, we propose a user authentication scheme for healthcare application using medical sensor networks. The proposed scheme includes: a novel two-factor user authentication, where the healthcare professionals are authenticated before access the patient's body data; a secure session key is establish between the patient sensor node and the professional at the end of user authentication. Furthermore, the analysis shows that the proposed scheme is safeguard to various practical attacks and achieves efficiency at low computation cost.