• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.260-263
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• 2018

현재까지 공항에서의 체크인 시스템은 기본적으로 서버-클라이언트(Server-Client)방식으로 구동되어져왔다. 서버-클라이언트 방식에서 서버는 단일실패지점이기 때문에 천재지변이나 공격자에 의해 서버마비와 같은 문제가 생기면 체크인 시스템 전체가 마비될 수 있다. 뿐만 아니라 실제 해커에 의해 항공사 중앙 서버가 공격을 받게 되면, 서버가 관리하는 항공사 데이터들의 무결성이 훼손될 수도 있다. 따라서 단일 실패지점에 대한 위협을 제거함과 동시에 저장된 데이터들의 무결성을 유지하는 방법을 논의할 필요가 있다. 그 중 하나로 블록체인 기술을 이용한 탈중앙화 시스템(Decentralized System) 모델을 적용하는 방법이 있다. 본 논문에서는 스마트 계약을 이용한 블록체인 기반 공항 체크인 시스템에 대한 모델을 제안한다.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.311-312
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• 2019

최근 기업의 클라우드 도입 확산으로 인해 정보자산이 분산됨에 따라 보호해야 하는 접점이 점차 증가 되고 있다. 또한, 모바일의 업무 활용 증가, 망 분리 및 내부 사설 클라우드의 도입 등 기업 내 변화된 IT 환경으로 인해 네트워크 구성이 더욱 더 복잡해지고 있으며, 이로 인해 보안 수준 유지가 어려워지고 있다. 특히, 클라우드 컴퓨팅에서는 보호해야 하는 자원이 기업 외부에 분산되어 있어 기존처럼 경계를 구축하는 것은 어려운 일이다. 본 논문에서는 CSA가 주도하는 SDP 표준화 동향 및 SDP의 구성요소와 동작 원리에 대한 연구를 진행하고, 핵심 기술인 SPA 및 Dynamic Firewall 기술을 활용하여 기존 접근통제 방식의 문제점을 개선하기 위한 방안을 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1523-1526
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• 2009

유비쿼터스 환경 구축을 위한 무선 센서 네트워크 기술은 센서에 의한 원격 모니터링과 같은 어플리케이션에 많은 분야에 적용되고 있다. 무선 센서 네트워크는 제한된 컴퓨팅능력으로 인해 기존의 보안 프로토콜을 적용하기 어렵고 무선 매체의 특성상 보안의 취약성을 내재하고 있다. USN 응용은 주로 센서 노드 간의 통신을 위한 센서 필드, 데이터를 수집하고 가공하는 미들웨어, 서비스를 위한 웹 서비스로 구분할 수 있는데, 각 단계에서 정보보호를 위한 보안 정책이 수반되어야 한다. 본 논문에서는 USN 응용을 위한 모니터링 시스템을 대상으로 각 단계별 정보보호 플랫폼과 보안 정책에 관한 내용을 기술한다.

• Korean Security Journal
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• no.56
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• pp.9-30
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• 2018

Crime prevention strategies are introduced to reduce the loss caused by crimes, and Target hardening against domestic burglary attacks is broadly accepted as one of such physical security strategies. In terms of business and home security, target hardening is one of the suite of protective measures that are included in crime prevention through environmental design(CPTED). This can include ensuring all doors and windows are sourced and fitted in such a way that they can resist forcible and surreptitious from the attack of intruder. Target hardening with certified security doors, security windows and secure locks are revealed to be much more effective to deter burglary attacks than other security devices, such as CCTV, lightings and alarms which have largely psychological and indirect impact. A pilot program of target hardening utilizing certified security window and locks was carried out in Ansan city, South Korea in 2016. This study is based on the quasi-experimental design of this program for a residential area. The researchers tried to verify the crime displacement effect of the target hardening program and the diffusion effects of crime prevention benefits by analysing the crime statistics. The evaluation utilized WDQ(Weighted Displacement Quotient) technique to analyze whether the crime displacement occurred, compared the crime statistics of the experimental area with that of buffer zone and controlled areas. The result showed that the target hardening program was significantly effective in crime prevention. The number of burglary in the experimental site with target hardening intervention reduced by 100%, although the areas without the intervention showed reduction in the burglary. The crime displacement was not found at all, and the number of burlary at the buffer zone also reduced significantly.

• Korean Security Journal
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• no.17
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• pp.277-300
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• 2008

The effect of satisfaction through job performance competency on management performance is enormous, for private security industry depends upon human resources generally till quite recently and often makes contact with clients. Although high-quality personnel who were taught professional education are held in high repute in private security industry, the studies of job satisfaction and recruit education for private security guards are insufficient. Consequently, this investigation analyzes the effect of recruit education program on job satisfaction searchingly for incumbent facility guards. The effect of recruit education program for facility personnel on job satisfaction is as follows. First of all, the differences of personal characteristics, training characteristics, work environment, job satisfaction are inspected in accordance with sociodemographic characteristics. After then, there is a remarkable contrast. Secondly, the former from among of learning expectation and self efficacy as personal characteristics has a positive effect on job satisfaction statistically. Thirdly, educational facility and contents as training characteristics have a positive effect on job satisfaction statistically. Finally, work environment including supervisor's support and maintenance has a positive effect on job satisfaction statistically.

• Journal of the Korean Society of Safety
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• v.20 no.2 s.70
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• pp.146-150
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• 2005

According to the current record of Private Security in Korea, more than 110,231 private security guards and around 2,213 security guard associations are engaged in the private security industries. However, there is no a professional license for the private security. In order to be provided a high quality service from private security industries, the security guard should be required his/her professional qualification which can be upgraded by establishing a professional license system. For introducing the license system the government and security guard associations need to support the suitable training program including curriculum and method, and all associations related to the private security have to require people involved in any kinds of private security matters to complete obligatorily some educational training programs. And also, to complete a college should be the minimum requirement.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2003.07a
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• pp.223-226
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• 2003

정보화 사회에서 네트워크는 현실과 밀접한 관련이 있고 사람들이 많이 이용하는 네트워크에 있어서 알고는 있지만 잘 인지하지 못하고 있는 악성 코드 및 프로그램인 바이러스, 웜, 트로이목마에 대하여 설명하고 이들이 보안과 어떤 관계가 있는가에 대하여 알아본다. 본 논문에서는 이들의 공격 및 전파 방법을 알아보고 이를 통하여 해킹의 위험성이 존재함을 밝힌다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.5
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• pp.1099-1105
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• 2017

Enterprises use different accounting programs to process vast amounts of accounting data. Due to the characteristic of the accounting program, in addition to the accounting data used by the accounting program, there is a variety of information to help detect accounting fraud. Existing forensic accounting techniques have limited scope of analysis because they analyze only accounting data like accounting ledger without using such information. When you do accounting fraud detection, information obtained from characteristics of accounting program can be used to obtain various information that can not be obtained by accounting data analysis alone. In this paper, we try to contribute to effective accounting fraud investigation by suggesting a technique to effectively detect accounting fraud by using other data obtained from characteristics of accounting program used in Windows system.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.339-345
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• 2022

Outcome-based education (OBE) is a tried-and-true teaching technique based on a set of predetermined goals. Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs) are the components of OBE. At the end of each year, the Program Outcomes are evaluated, and faculty members can submit many recommended measures which dependent on the relationship between the program outcomes and its courses outcomes to improve the quality of program and hence the overall educational program. When a vast number of courses are considered, bad actions may be proposed, resulting in unwanted and incorrect decisions. In this paper, a recommender system, using collaborative filtering and association rules algorithms, is proposed for predicting the best relationship between the program outcomes and its courses in order to improve the attributes of the graduates. First, a parallel algorithm is used for Collaborative Filtering on Data Model, which is designed to increase the efficiency of processing big data. Then, a parallel similar learning outcomes discovery method based on matrix correlation is proposed by mining association rules. As a case study, the proposed recommender system is applied to the Computer Information Systems program, College of Computer Sciences and Information Technology, Al-Baha University, Saudi Arabia for helping Program Quality Administration improving the quality of program outcomes. The obtained results revealed that the suggested recommender system provides more actions for boosting Graduate Attributes quality.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.42-49
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• 2021

As cyber attacks become more intelligent, there is difficulty in detecting advanced attacks in various fields such as industry, defense, and medical care. IPS (Intrusion Prevention System), etc., but the need for centralized integrated management of each security system is increasing. In this paper, we collect big data for intrusion detection and build an intrusion detection platform using deep learning and CNN (Convolutional Neural Networks). In this paper, we design an intelligent big data platform that collects data by observing and analyzing user visit logs and linking with big data. We want to collect big data for intrusion detection and build an intrusion detection platform based on CNN model. In this study, we evaluated the performance of the Intrusion Detection System (IDS) using the KDD99 dataset developed by DARPA in 1998, and the actual attack categories were tested with KDD99's DoS, U2R, and R2L using four probing methods.