• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.103-108
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• 2022

Mass media in the digital age are not only one of the most important elements of the information society but also a strategic resource for its development. Effectively implemented communication makes it possible to build connections not only between individuals, but also between social institutions and representatives of various generational groups of the mass audience, as well as ensure information security in a crisis period. At the same time, in the context of a constantly increasing amount of information flows, more and more often "a person loses the ability to independently think, analyze, and critically perceive information." At the same time, "imposing" on the representatives of this or that society, through the content of multi-format mass media or active authors of social networks, a certain point of view on the problem becomes a completely realizable task. Thus, the main task of the study is to analyze the anti-crisis communications in legal discourse in terms of ensuring information security. As a result of the study, current trends and prerequisites of anti-crisis communications in legal discourse in terms of ensuring information security were revealed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권3호
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• pp.685-703
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• 2024

Cloud computing provides each consumer with a large-scale computing tool. Different Cyber Attacks can potentially target cloud computing systems, as most cloud computing systems offer services to many people who are not known to be trustworthy. Therefore, to protect that Virtual Machine from threats, a cloud computing system must incorporate some security monitoring framework. There is a tradeoff between the security level of the security system and the performance of the system in this scenario. If strong security is needed, then the service of stronger security using more rules or patterns is provided, since it needs much more computing resources. A new way of security system is introduced in this work in cloud environments to the VM on account of resources allocated to customers are ease. The main spike of Fog computing is part of the cloud server's work in the ongoing study tells the step-by-step cloud server to change the tremendous measurement of information because the endeavor apps are relocated to the cloud to keep the framework cost. The cloud server is devouring and changing a huge measure of information step by step to reduce complications. The Medical Data Health-Care (MDHC) records are stored in Cloud datacenters and Fog layer based on the guard intensity and the key is provoked for ingress the file. The monitoring center sustains the Activity Log, Risk Table, and Health Records. Cloud computing and Fog computing were combined in this paper to review data movement and safe information about MDHC.

• 한국의학물리학회지:의학물리
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• 제28권4호
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• pp.197-206
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• 2017

We develop guidelines for the quality assurance of radiation treatment planning systems (TPS) by comparing and reviewing recommendations from major countries and organizations, as well as by analyzing the AAPM, ESTRO, and IAEA TPS quality assurance guidelines. We establish quality assurance items for acceptance testing, commissioning, periodic testing, system management, and security, and propose methods to perform each item within acceptable standards. Acceptance includes tests of hardware and network environments, data transmission, software, and benchmarking as specified by the system supplier, and apply the IAEA classification criteria. Commissioning includes dosimetric and non-dosimetric items for assessing TPS performance by applying the AAPM classification criteria and the latest technical items from the IAEA. Periodic quality assurance tests include daily, weekly, monthly, yearly, and occasional items by applying the AAPM classification criteria. System management and security items include the state and network connectivity of TPS, periodic data backup, and data access security. The guidelines for TPS quality assurance proposed in this study will help to improve the safety and quality of radiotherapy by preventing incidents related to radiotherapy.

• 한국인터넷방송통신학회논문지
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• 제10권3호
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• pp.131-137
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• 2010

UMSN (Ubiquitous Medical Sensor Network)은 실시간 객체식별과 센서 정보 수집으로 병원 등 의료시설의 u-Healthcare 시스템에 사용되고 있다. RF 무선 주파수로 리더기를 이용해 태그를 식별하는 RFID는 특히 환자 관리에 많이 쓰인다. 하지만 RFID 태그는 리더기의 질의에 항상 자신의 ID를 응답하기 때문에 불법적인 리더기에 ID를 전송하거나 불필요한 질의에 응답하여 도청, 스푸핑 등의 보안 취약점이 발생할 수 있다. 본 논문은 UMSN 기반의 환자관리 시스템에서 리더기가 환자, 의료기기, 의료진, 각종센서 등에 부착된 태그에 과도한 인증을 요청하여 발생할 수 있는 RFID Back-end Server의 트래픽을 줄이고 이 과정에서 발생 가능한 도청, 스푸핑 등의 보안 위협을 줄이기 위해 태그 ID 세분화 기법을 제안한다. 제안 기법은 환자의 태그 ID 문자열을 기준으로 환자를 분류하여 집단으로 구분하고 해당 집단에 인가된 리더기가 태그를 읽었을 때만 Back-end Server가 태그 인증절차를 수행하도록 하여 Back-end Server 트래픽과 보안 위협을 줄일 수 있다.

• 융합보안논문지
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• 제20권4호
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• pp.217-225
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• 2020

최근 "사회적 거리 두기"로 인해 해외 여행객이 대폭 감소하는 반면 개인의 안전과 보안을 위해 CCTV나 전기경보 및 신호장치, 전기진단 및 의료기기에 대한 관심과 수요가 증가할 것으로 기대하고 있다. 본 논문의 목적은 공항 환승여객과 CCTV, 전기진단 및 의료기기, 전기경보 및 신호장치의 수출이 한국 수출에 미치는 영향을 살펴보면서 각 변수별 동조화현상을 찾아보는데 있다. 이를 위해 본 연구에서는 통계청 국가통계포털과 관세청 수출입 무역통계에서 2000년 1월부터 2020년 04월까지 총 231개 월별자료를 이용하였다. 실증분석결과, CCTV와 전기진단 및 의료기기의 수출이 한국 수출에 상대적으로 높은 동조화현상을 보여주었다. 전기경보 및 신호장치의 수출과 환승여객이 수출액과 일정 수준 동조화현상을 보여주었으나 상대적으로 약하게 나타났다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.974-992
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• 2021

Recently, the healthcare field has undergone rapid changes owing to the accumulation of health big data and the development of machine learning. Data mining research in the field of healthcare has different characteristics from those of other data analyses, such as the structural complexity of the medical data, requirement for medical expertise, and security of personal medical information. Various methods have been implemented to address these issues, including the machine learning model and cloud platform. However, the machine learning model presents the problem of opaque result interpretation, and the cloud platform requires more in-depth research on security and efficiency. To address these issues, this paper presents a recent technology for Internet-of-Things-based (IoT-based) health big data processing. We present a cloud-based IoT health platform and health big data processing technology that reduces the medical data management costs and enhances safety. We also present a data mining technology for health-risk prediction, which is the core of healthcare. Finally, we propose a study using explainable artificial intelligence that enhances the reliability and transparency of the decision-making system, which is called the black box model owing to its lack of transparency.

• International Journal of Computer Science & Network Security
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• 제22권5호
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• pp.127-134
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• 2022

Generally developed for medical testing, electrocardiogram (ECG) recordings seizure the cardiac electrical signals from the surface of the body. ECG study can consequently be a vital first step to support analyze, comprehend, and expect cardiac ailments accountable for 31% of deaths globally. Different tools are used to analyze ECG signals based on computational methods, and explicitly machine learning method. In all abovementioned computational simulations are prevailing tools for cataloging and clustering. This review demonstrates the different effective methods for heart disease based on computational methods for ECG analysis. The accuracy in machine learning and three-dimensional computer simulations, among medical inferences and contributions to medical developments. In the first part the classification and the methods developed to get data and cataloging between standard and abnormal cardiac activity. The second part emphases on patient analysis from entire ECG recordings due to different kind of diseases present. The last part represents the application of wearable devices and interpretation of computer simulated results. Conclusively, the discussion part plans the challenges of ECG investigation and offers a serious valuation of the approaches offered. Different approaches described in this review are a sturdy asset for medicinal encounters and their transformation to the medical world can lead to auspicious developments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권5호
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• pp.1634-1652
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• 2022

Due to the increasing need for data sharing in the age of big data, how to achieve data access control and implement user permission revocation in the blockchain environment becomes an urgent problem. To solve the above problems, we propose a novel blockchain-based data sharing scheme (BDSS) with fine-grained access control and permission revocation in this paper, which regards the medical environment as the application scenario. In this scheme, we separate the public part and private part of the electronic medical record (EMR). Then, we use symmetric searchable encryption (SSE) technology to encrypt these two parts separately, and use attribute-based encryption (ABE) technology to encrypt symmetric keys which used in SSE technology separately. This guarantees better fine-grained access control and makes patients to share data at ease. In addition, we design a mechanism for EMR permission grant and revocation so that hospital can verify attribute set to determine whether to grant and revoke access permission through blockchain, so it is no longer necessary for ciphertext re-encryption and key update. Finally, security analysis, security proof and performance evaluation demonstrate that the proposed scheme is safe and effective in practical applications.

• 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%.

• 한국컴퓨터정보학회논문지
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• 제24권12호
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• pp.59-65
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• 2019

병원정보시스템은 의료계에서 병원의 전반적인 행정 업무 및 의사들의 의료 업무까지 다양한 정보를 포함하고 있다. 본 연구에서는 OpenCV를 이용해서 비전기반 얼굴인식 인증 및 등록 지원 병원정보시스템을 제안하였다. 구현한 보안 모듈 프로그램을 이용하여 병원정보시스템에서 접수 등록 시 병원관계자의 얼굴촬영을 통한 및 수납, 진료 및 처방 과정까지 보안성을 강화하고 개인정보의 2차적인 유출 없이 처리하고자 하였다. 구현한 보안 모듈 프로그램을 통하여 병원정보시스템에서 간호사가 확인할 수 있는 기존의 스티커 종이 태그와 손목 밴드 타입의 개인정보의 출력, 노출 및 인식이 필요 없게 하였다. 보안 모듈 프로그램에서 원본과 대조하여 영상을 아이디와 패스워드로 대신 입력되어하여 개인정보보호 및 인식율을 향상시키도록 하였다.