• Title/Summary/Keyword: 범죄발달

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A Study on the Improvement of Personal Information Protection in Small and Medium-sized Medical Institutions (중소형 의료기관의 개인정보 보안실태 및 개선방안)

  • Shin, Min ji;Lee, Chang Moo;Cho, Sung Phil
    • Convergence Security Journal
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    • v.19 no.4
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    • pp.123-132
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    • 2019
  • Rapid developments of IT technology has been creating new security threats. There have been more attacks to get patients' sensitive personal information, targeting medical institutions that are relatively insufficient to prevent and defend against such attacks. Although the government has required senior general hospitals to get the ISMS certification since 2016, such a requirement has been burdensome for small and medium-sized medical institutions. Therefore, this study was designed to draw measures to identify and improve the privacy status of the medical institution by dividing it into management, physical and cyber areas for small and medium-sized medical institutions. The results of this study showed that the government should provide financial support and managerial supervision for the improvement of personal information protection of small and medium-sized medical institutions. They also suggested that the government should also provide medical security specialists, continuous medical security education, disaster planning, reduction of medical information management regulations not suitable for small and medium sized institutions.

A Study for the Necessity and Recognizing Usability of Recruit Education Curriculum for Security Personnel (민간경비원 신임교육과목 필요성 및 활용성 인식에 관한 연구)

  • Bang, Whan-Bog
    • Korean Security Journal
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    • no.17
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    • pp.195-220
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    • 2008
  • Various Kinds of social pathology and crimes that threaten our daily safety are on the increase in process of time as a result of the development of science and technology empty of moral sense, Value Confusions, apolaustic tendency, economic and social transformation recently. Moreover the effective provision of police service lies beyond the boundaries of the police organization. Therefore private security personnel have made an effort for safety and protection of group as well as an individual through the introduction of private security industry based on a benefit principle and private security industry is being become complexes utilizing technology as well as high-end devices through various international events. The field of private security industry in Korea is being extended rapidly with expansionism of society and public services but the quality improvement is declining. Furthermore the study of recruit education program for security personnel as the basis of quality improvement is insufficient compared with the study of police service. Consequently, this investigation is going to contribute to development of recruit education program for security personnel through the analysis about difference of each subject usability for education about electronic security and facility guard.

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A Secure Agent Communication Mechanism for Intruder Tracing System (침입자 추적 시스템의 에이전트 통신 보안을 위한 메커니즘)

  • 최진우;황선태;우종우;정주영;최대식
    • Journal of KIISE:Information Networking
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    • v.29 no.6
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    • pp.654-662
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    • 2002
  • As the Internet technology becomes a major information infrastructure, an emerging problem is the tremendous increase of malicious computer intrusions. The present Intrusion Detection System (IDS) serves a useful purpose for detecting such intrusions, but the current situation requires more active response mechanism other than simple detection. This paper describes a multi-agent based tracing system against the intruders when the system is attacked. The focus of the study lies on the secure communication mechanism for the agent message communication. We have extended parameters on the KQML protocol, and apt)lied the public key encryption approach, The limitation might be the requirements of two-way authentication for every communication through the broker agent. This model ma)r not improve the efficiency, but it provides a concrete secure communication. Also this is one important factor to protect the agent and the tracing server during the tracing process.

A Study on Private Security in the 1970s (1970년대의 민간경비연구)

  • Ahn, Hwang Kwon
    • Convergence Security Journal
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    • v.13 no.2
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    • pp.15-24
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    • 2013
  • In the 1960s, economic growth served to step up industrialization and urbanization, which was concurrent with th e urban concentration of population, and this phenomenon led to an increase in crime, and there was a rapid increase in demand for security at the same time. So the law enforcement authorities instituted the security service act in a move to secure quasi-police force. The enactment of the security service act has been put in force up to now, fueling the growth of security business. Mean while, the security industry has attained a splendid growth as one of growth industries, and it's required to look back on the past to determine new directions for the industry to make a new leap forward. Thus, the 1970s was a period to lay the groundwork for Korean private security, and the purpose of this study was to examine the social environments of the 1970s related to private security and what accelerated the development of private security.

Design of Management System for Registering Agricultural Machine Using Blockchain (블록체인을 활용한 농업기계 등록 관리 시스템의 설계)

  • Son, Yong-Bum;Kim, Young-Hak
    • The Journal of the Korea Contents Association
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    • v.19 no.12
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    • pp.18-27
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    • 2019
  • Through the technology of the 4th industrial revolution, agricultural machinery is becoming increasingly intelligent, and the machine is replacing the role of farmer manpower as a whole. However, safety accidents caused by careless use of agricultural machines and theft accidents due to the difficulty of keeping them are increasing every year. Because agricultural machines do not manage the history of events and accidents unlike automobiles, they are often used for crime. There is also no way to cope with the issues if there happens issues on agricultural machines. In this paper, we propose the system based on block chain which can manage the history of the agricultural machinery by registering the chassis number at the same time when purchasing the agricultural machinery. Since this system contains the history of accident and repair information about the owner's agricultural machinery, it is possible to trace back even if a theft occurs. The proposed system also allows buyers to secure transactions by providing reliable data through inquiry of this system when trading in the secondary market in the future.

Study of child abuse families using logistic regression models (로지스틱회귀모형을 활용한 아동학대 가족의 연구)

  • Min, Dae Kee;Choi, Mi Kyung
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.5
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    • pp.1327-1336
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    • 2016
  • Most cases of child abuse in South Korea are caused by parents in the family home. Currently, these types of incidents are growing. Child abuse creates irreparable damage to a child's development and its effects are prolonged. This damage can create a maladjusted adolescent and adult criminal acts. Because of this damage and the long lasting effects on a person and society as a whole, special attention needs to be paid to this pressing issue. South Korea's rapidly changing social environment has created a variety of new family forms including dual-income families and single-parent families. With the current economic downturn and accompanying employment instability, many families exist in uneasy financial and emotional states. The children in these stressful family environments are the most vulnerable and live in risk of experiencing physical or psychological abuse from their parents. In the context of significant and often difficult social changes, this study identifies the characteristics of child abuse based on family status and parental mental health.

Anomaly Intrusion Detection based on Association Rule Mining in a Database System (데이터베이스 시스템에서 연관 규칙 탐사 기법을 이용한 비정상 행위 탐지)

  • Park, Jeong-Ho;Oh, Sang-Hyun;Lee, Won-Suk
    • The KIPS Transactions:PartC
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    • v.9C no.6
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    • pp.831-840
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    • 2002
  • Due to the advance of computer and communication technology, intrusions or crimes using a computer have been increased rapidly while tremendous information has been provided to users conveniently Specially, for the security of a database which stores important information such as the private information of a customer or the secret information of a company, several basic suity methods of a database management system itself or conventional misuse detection methods have been used. However, a problem caused by abusing the authority of an internal user such as the drain of secret information is more serious than the breakdown of a system by an external intruder. Therefore, in order to maintain the sorority of a database effectively, an anomaly defection technique is necessary. This paper proposes a method that generates the normal behavior profile of a user from the database log of the user based on an association mining method. For this purpose, the Information of a database log is structured by a semantically organized pattern tree. Consequently, an online transaction of a user is compared with the profile of the user, so that any anomaly can be effectively detected.

A Study on the Using Resident Registration Number and Alternatives for RRN (주민등록번호 사용현황과 대체수단에 관한 연구)

  • Choi, Haelahng;Chung, Chung-Yun;Choi, Sung-Eun;Pak, Hyejin;Kim, Chang-Soo;Ahn, Sung-Soo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.907-909
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    • 2012
  • 주민등록번호는 주민생활의 편익 증진과 행정사무의 적정한 처리를 목적으로 도입되었으나 인터넷의 발달과 함께 관행적이고 무분별하게 사용되어 왔다. 수집된 주민등록번호가 해킹 등의 유출사고로 명의도용 등 범죄에 악용될 우려가 커지자 이를 근본적으로 해결하기 위하여 2011년 방송통신위원회는 인터넷상 주민등록번호 수집 이용을 제한하는 법 제도적 정책을 추진하였다. 정보통신망법이 개정되어 주민등록번호의 사용이 제한되면서 사업자에게 본인확인, 연령확인 등 법률의무의 이행이나 고객의 분쟁조정 등 목적을 위해 주민등록번호를 대체할 본인확인수단이 필요하게 되었다. 본 논문에서는 주민등록번호를 이용자가 입력하지 않으며 보편적으로 사용하고 있는 인프라를 이용하고 단순한 입력정보의 변경을 통해 본인확인을 할 수 있는 방안을 제안한다.

Printer Identification Methods Using Global and Local Feature-Based Deep Learning (전역 및 지역 특징 기반 딥러닝을 이용한 프린터 장치 판별 기술)

  • Lee, Soo-Hyeon;Lee, Hae-Yeoun
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.1
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    • pp.37-44
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    • 2019
  • With the advance of digital IT technology, the performance of the printing and scanning devices is improved and their price becomes cheaper. As a result, the public can easily access these devices for crimes such as forgery of official and private documents. Therefore, if we can identify which printing device is used to print the documents, it would help to narrow the investigation and identify suspects. In this paper, we propose a deep learning model for printer identification. A convolutional neural network model based on local features which is widely used for identification in recent is presented. Then, another model including a step to calculate global features and hence improving the convergence speed and accuracy is presented. Using 8 printer models, the performance of the presented models was compared with previous feature-based identification methods. Experimental results show that the presented model using local feature and global feature achieved 97.23% and 99.98% accuracy respectively, which is much better than other previous methods in accuracy.

A Study on Anomaly Detection based on User's Command Analysis (사용자 명령어 분석을 통한 비정상 행위 판정에 관한 연구)

  • 윤정혁;오상현;이원석
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.10 no.4
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    • pp.59-71
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    • 2000
  • Due to the advance of computer and communication technology, intrusions or crimes using a computer have been increased rapidly while various information has been provided to users conveniently. As a results, many studies are necessary to detect the activities of intruders effectively. In this paper, a new association algorithm for the anomaly detection model is proposed in the process of generating user\`s normal patterns. It is that more recently observed behavior get more affection on the process of data mining. In addition, by clustering generated normal patterns for each use or a group of similar users, it is possible to identify the usual frequency of programs or command usage for each user or a group of uses. The performance of the proposed anomaly detection system has been tested on various system Parameters in order to identify their practical ranges for maximizing its detection rate.