• Title/Summary/Keyword: 정보보안 침해

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A Study of Office Open XML Document-Based Malicious Code Analysis and Detection Methods (Office Open XML 문서 기반 악성코드 분석 및 탐지 방법에 대한 연구)

  • Lee, Deokkyu;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.3
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    • pp.429-442
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    • 2020
  • The proportion of attacks via office documents is increasing in recent incidents. Although the security of office applications has been strengthened gradually, the attacks through the office documents are still effective due to the sophisticated use of social engineering techniques and advanced attack techniques. In this paper, we propose a method for detecting malicious OOXML(Office Open XML) documents and a framework for detection. To do this, malicious files used in the attack and benign files were collected from the malicious code repository and the search engine. By analyzing the malicious code types of collected files, we identified six "suspicious object" elements that are meaningful in determining whether they are malicious in a document. In addition, we implemented an OOXML document-based malware detection framework based on the detection method to classify the collected files and found that 98.45% of malicious filesets were detected.

Federated Deep Reinforcement Learning Based on Privacy Preserving for Industrial Internet of Things (산업용 사물 인터넷을 위한 프라이버시 보존 연합학습 기반 심층 강화학습 모델)

  • Chae-Rim Han;Sun-Jin Lee;Il-Gu Lee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.6
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    • pp.1055-1065
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    • 2023
  • Recently, various studies using deep reinforcement learning (deep RL) technology have been conducted to solve complex problems using big data collected at industrial internet of things. Deep RL uses reinforcement learning"s trial-and-error algorithms and cumulative compensation functions to generate and learn its own data and quickly explore neural network structures and parameter decisions. However, studies so far have shown that the larger the size of the learning data is, the higher are the memory usage and search time, and the lower is the accuracy. In this study, model-agnostic learning for efficient federated deep RL was utilized to solve privacy invasion by increasing robustness as 55.9% and achieve 97.8% accuracy, an improvement of 5.5% compared with the comparative optimization-based meta learning models, and to reduce the delay time by 28.9% on average.

Input Certification protocol for Secure Computation

  • Myoungin Jeong
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.8
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    • pp.103-112
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    • 2024
  • This study was initiated with the aim of authenticating that inputs have not been tampered with without disclosing them in the case of computations where multiple inputs are entered by participants using the same key. In general, in the authentication stage, authentication is performed after the input value is disclosed, but we do not want to reveal the inputs until the end. This is a case of deviating from the traditional security model in which malicious participants exist in cryptography, but it is a malicious attack method that can actually occur enough. Privacy infringement or distortion of calculation results can occur due to malicious manipulation of input values. To prevent this, this study studied a method that can authenticate that the message is not a modified message without disclosing the message using the signature system, zero-knowledge proof, and commitment scheme. In particular, by modifying the ElGamal signature system and combining it with the commitment scheme and zero-knowledge proof, we designed and proved a verification protocol that the input data is not a modified data, and the efficiency was improved by applying batch verification between authentication.

A Study on Awareness Levels of Personal Information Protection in Health Care Workers (개인정보 보호에 대한 의료기관 종사자들의 인식수준에 관한 연구)

  • Hong, Ju-Youn;Kim, Hwan-Hui
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.647-659
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    • 2019
  • The purpose of this study was to examine the relationship between the awareness of health care workers on the protection of patient health information and their practice of it in an attempt to provide some information on the policy setting of health care institutions about medical information protection. As a result, the awareness of the health care workers on the protection of patient health information and their practice of it were both the best in the communication area, followed by the patient health information management area and the area of direct contact with health information. As for the variables linked to their awareness and practice of patient health information protection, the type of the health care institutions, job satisfaction, religion and the departments in which they worked were significantly related. To determine what factors affected the patient health information management area, a multiple regression analysis was carried out by selecting the area of direct contact with patient health information and the communication area as independent variables and by selecting the patient health information management area as a dependent variable. And it's found that the patient health information management area became better when the area of direct contact with the information and the communication area were better.

Development of Personal Information Protection Framework to be Followed by IoT Service Providers (IoT서비스제공자가 준수해야 할 개인정보보호 프레임워크의 개발 방안)

  • Shin, Young-Jin
    • Journal of Convergence for Information Technology
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    • v.10 no.7
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    • pp.20-32
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    • 2020
  • This study is to develop and provide a personal information protection framework that enables IoT service providers to safely and systematically operate personal information of IoT service subjects in the overall process of providing IoT devices and services. To this end, a framework for personal information framework was derived through literature survey, and FGI with experts, it was divided into three stages, each of three stages: IoT service provision process and IoT personal information processing process. The study conducted an e-mail survey of related experts using AHP techniques to determine the importance of the components of the selected personal information protection framework. As a result, in the IoT service provision process, the IoT product and service design and development stage (0.5413) is the most important, and in the IoT personal information processing process, personal information protection in the collection and retention of personal information (0.5098) is the most important. Therefore, based on this research, as the IoT service is spreading, it is expected that a safe personal information protection framework will be realized by preventing security threats and personal information infringement accidents.

A Study on the Relative Importance of the Administrative and Technical Measures for the Personal Information Protection (개인정보의 관리적·기술적 보호조치 기준의 상대적 중요도에 관한 연구)

  • Kim, Young Hee;Kook, Kwang Ho
    • The Journal of Society for e-Business Studies
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    • v.19 no.4
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    • pp.135-150
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    • 2014
  • As the collection and use of personal information increases, the accidents that abuse and leak personal information are continuously increasing. The nation has established new laws and strengthened related laws for the prevention of the mass leakage of personal information and the secondary damage due to the leaked personal information. The nation also established the guidelines that need to be implemented by the institutions handling personal information for the safety of the personal information. For the efficient implementation of guidelines under the limited time and resources, it is necessary to establish the priorities between guidelines. This paper compares the relative importance of the guidelines by AHP (Analytic Hierarchy Process) technique. We performed the analysis on two expert groups, the group of consultants working in information security consulting company and the group of information security staffs handling personal information directly in the company. We compared the differences between groups and recommended the relative importances of the guidelines.

A New Method of Registering the XML-based Clinical Document Architecture Supporting Pseudonymization in Clinical Document Registry Framework (익명화 방법을 적용한 임상진료문서 등록 기법 연구)

  • Kim, Il-Kwang;Lee, Jae-Young;Kim, Il-Kon;Kwak, Yun-Sik
    • Journal of KIISE:Software and Applications
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    • v.34 no.10
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    • pp.918-928
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    • 2007
  • The goal of this paper is to propose a new way to register CDA documents in CDR (Clinical Document Repository) that is proposed by the author earlier. One of the methods is to use a manifest archiving for seamless references and visualization of CDA related files. Another method is to enhance the CDA security level for supporting pseudonymization of CDA. The former is a useful method to support the bundled registration of CDA related files as a set. And it also can provide a seamless presentation view to end-users, once downloaded, without each HTTP connection. The latter is a new method of CDA registration which can supports a do-identification of a patient. Usually, CDA header can be used for containing patient identification information, and CDA body can be used for diagnosis or treatment data. So, if we detach each other, we can get good advantages for privacy protection. Because even if someone succeeded to get separated CDA body, he/she never knows whose clinical data that is. The other way, even if someone succeeded to get separated CDA header; he/she doesn't know what kind of treatment has been done. This is the way to achieve protecting privacy by disconnecting association of relative information and reducing possibility of leaking private information. In order to achieve this goal, the method we propose is to separate CDA into two parts and to store them in different repositories.

RBAC-based health care service platform for individual recommended health information service (RBAC에 기반한 개인 맞춤형 건강 정보 제공 헬스케어 서비스 플랫폼)

  • Song, Je-Min;Kim, Myung-Sic;Jeong, Kyeong-Ja;Shin, Moon-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.3
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    • pp.1740-1748
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    • 2014
  • In this paper, we propose an RBAC based personalized health care service platform in order to provide smart management of personal health record using smart devices. It helps to guide healthful service and provide useful information according to one's individual health record. Personalized health care services platform supports a healthy lifestyle by measuring personal health information in a hospital clinical, imaging, and drug data, as well as that can be obtained from smart devices. Everyone can enter his health related data in everyday life such as food, sleeping time, mood, movement and exercise so that one can manage his personal health information of modern smart features. In addition, if necessary, personal health information can be provided to the hospital information system and staff with the consent of the individual. It can be contributed to simplify the complex process for remote medical. The proposed platform, which applies role based access control model to protect security and privacy, supports a smart health care services for users by providing personalized health care services through the smart applications.

A Study on The Preference Analysis of Personal Information Security Certification Systems: Focused on SMEs and SBs (개인정보보호 인증제도 선호도 분석에 관한 연구: 중소기업 및 소상공인을 중심으로)

  • Park, Kyeong-Tae;Kim, Sehun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.5
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    • pp.911-918
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    • 2014
  • Over the past few years, security breaches have been consistently reported around the world. Especially, people's personal information are at risk of being breached as the firms gather and utilize the information for their marketing purposes. As an effort to revamp their data infrastructures, companies have rebuilt their system that almost every data, including the personal information, are stored within the digital database. However, this migration provides easier access to the database but it has also increased the system vulnerability. As the data can be easily exposed to the unauthorized personnel both intentionally and unintentionally, it is necessary for companies to establish a set of security protocol and operate the personal information protection system. There are two major certified security system in South Korea; PIMS from KISA and PIPL from NIA. This paper analyzes the preferences of SMEs and small business using conjoint attributes of PIMS and PIPL. The study shows that the business owners take post certification rewards as the most important factor. It also shows that the attributes that have the highest utility rates are the following; 1) KISA certification, 2) 79 points of protection counter measurements, 3) 28 items of life cycle, 3) 50 percent discount on certification fee, and 4) Reduced amount of fine for personal information leakage incident.

A Robust Biometric-based User Authentication Protocol in Wireless Sensor Network Environment (무선센서네트워크 환경에서 생체기반의 개선된 사용자 인증 프로토콜)

  • Shin, Kwang-Cheul
    • The Journal of Society for e-Business Studies
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    • v.18 no.3
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    • pp.107-123
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    • 2013
  • In a wireless sensor network environment, it is required to ensure anonymity by keeping sensor nodes' identifiers not being revealed and to support real-time authentication, lightweight authentication and synchronization. In particular, there exist possibilities of location information leakage by others, privacy interference and security vulnerability when it comes to wireless telecommunications. Anonymity has been an importance issue in wired and wireless network environment, so that it has been studied in wide range. The sensor nodes are interconnected among them based on wireless network. In terms of the sensor node, the researchers have been emphasizing on its calculating performance limit, storage device limit, and smaller power source. To improve of biometric-based D. He scheme, this study proposes a real-time authentication protocol using Unique Random Sequence Code(URSC) and variable identifier for enhancing network performance and retaining anonymity provision.