• 디지털산업정보학회논문지
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• 제5권3호
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• pp.87-98
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• 2009

This paper discuss secure information flow analysis and its visualization. Information leak is defined as existence of information flow from variables which have user's private informations to variables that anyone can access. Secure information flow analysis has been made to decide of whether the information leak is or not. There are many researches for secure information flow analysis concerning high level programming languages. But actually, programs that user executes don't have program source code represented in high level programming language. Thus there is need for analysis of program represented in low level language. More to analysis, visualization of analysis is very important. So, this paper discuss visualization of secure information flow analysis. In this paper, Mini x86 Assembly Language which is subset of x86 assembly language is defined and secure information flow analysis of program is proposed. In addition, this paper defines transfer function that is used for analysis and shows how to visualize control flow graph.

• Journal of Communications and Networks
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• 제18권5호
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• pp.818-825
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• 2016

Network management and anomaly detection are challenges in high-speed networks due to the high volume of packets that has to be analysed. Flow-based analysis is a scalable method which reduces the high volume of network traffic by dividing it into flows. As sampling methods are extensively used in flow generators such as NetFlow, the impact of sampling on the performance of flow-based analysis needs to be investigated. Monitoring using sampled traffic is a well-studied research area, however, the impact of sampling on flow-based anomaly detection is a poorly researched area. This paper investigates flow sampling methods and shows that these methods have negative impact on flow-based anomaly detection. Therefore, we propose an efficient probabilistic flow sampling method that can preserve flow traffic distribution. The proposed sampling method takes into account two flow features: Destination IP address and octet. The destination IP addresses are sampled based on the number of received bytes. Our method provides efficient sampled traffic which has the required traffic features for both flow-based anomaly detection and monitoring. The proposed sampling method is evaluated using a number of generated flow-based datasets. The results show improvement in preserved malicious flows.

• Journal of Construction Engineering and Project Management
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• 제3권1호
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• pp.1-9
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• 2013

Construction is a competitive industry and successful contractors must be able to win bids to obtain projects. Cash flow analysis not only determines actual profit at the end of the project, but also estimates required cash resources or cash ballances at the end of every month. Cash flow analysis is important in managing a construction project; however, it requires extensive information that is not immediately available to the general contractor. Before contractors can perform cash flow analysis, they must first complete a series of pre-requisites such as the quantity take off, scheduling, and cost estimating, followed by accurate assessments of project costs incurred and billable progress made. Consequently, cash flow analysis is currently a lengthy, uncertain process. This paper suggests improved cash flow analysis can be developed using data extraction in Building Information Modeling (BIM). BIM models contain a wealth of information and tools have been developed to automate a series of process such as quantity takeoff, scheduling, and estimating. This paper describes a prototype tool to support BIM-based, automated cash flow analysis.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 추계학술발표대회
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• pp.1061-1064
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• 2007

네트워크의 효율적인 관리를 위해서는 네트워크의 각 호스트에서 발생하는 트래픽을 실시간으로 모니터링 할 수 있는 시스템이 필요하다. 이러한 모니터링의 효율적인 방법 중 하나가 네트워크 장비에서 제공하는 flow 정보를 이용하는 방법이다. 하지만 이는 네트워크 장비의 과부하 발생, 운용비용 상승, 유연성 및 확장성 부족의 단점을 가진다. 이를 극복하기위하여 본 논문에서는 Enterprise 네트워크에 적합한 Flow 기반 실시간 트래픽 모니터링 시스템의 구조를 제안하고, 검증을 위해 구현한 내용을 기술한다. 본 시스템은 패킷을 수집하여 실시간으로 flow 정보를 생성하고 저장하는 Flow Generator 시스템, 저장된 flow 정보를 Analysis 시스템으로 전송하는 Flow Exporter 시스템, Traffic Analysis 시스템, 그리고 분석된 내용을 보여주는 Traffic Reporter 시스템으로 구성된다. 본 시스템은 다양한 분석 목적에 맞게 Flow 정보를 조절할 수 있는 유연성과 다양한 분석시스템을 구축할 수 있는 확장성을 가진다. 본 논문에서 기술한 시스템은 학교 Campus 네트워크를 대상으로 구축되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권6호
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• pp.1649-1667
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• 2012

In order to improve the accuracy and universality of the flow metric correlation analysis, this paper firstly analyzes the characteristics of Internet flow metrics as random variables, points out the disadvantages of Pearson Correlation Coefficient which is used to measure the correlation between two flow metrics by current researches. Then a method based on Symmetrical Uncertainty is proposed to measure the correlation between two flow metrics, and is extended to measure the correlation among multi-variables. Meanwhile, the simulation and polynomial fitting method are used to reveal the threshold value between different correlation degrees for SU method. The statistical analysis results on the common flow metrics using several traces show that Symmetrical Uncertainty can not only represent the correct aspects of Pearson Correlation Coefficient, but also make up for its shortcomings, thus achieve the purpose of measuring flow metric correlation quantitatively and accurately. On the other hand, reveal the actual relationship among fourteen common flow metrics.

• 한국정보과학회논문지:소프트웨어및응용
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• 제31권5호
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• pp.667-676
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• 2004

이 논문은 명령형 프로그램의 핵심 부분에 대한 정보흐름의 보안성을 데이타 흐름 분석법을 사용하여 예측하는 방법을 제시한다. 지금까지 제안된 분석 기법은 정보흐름이 안전한 프로그램을 안전하지 않다고 보수적으로 판정한다는 점에서 정밀도가 떨어지는 경우가 많이 있다. 이 논문에서는 이전의 구문중심의 접근방법보다는 분석결과가 더 정밀한 새로운 분석법을 제안하고, 그 분석의 안전성을 증명한다.

• 한국의류산업학회지
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• 제18권6호
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• pp.825-832
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• 2016

The purposes of this study was to investigate effects of fashion brand apps on smartphones flow and consumer satisfaction in mobile shopping. These findings provide new information to marketers for the marketing strategy for dealing with mobile shopping mall. A total of 233 usable questionnaires were obtained from men and women ages 20-30 who have mobile shopping purchasing experience. Data were analyzed by frequency analysis, factor analysis using SPSS for Window 22.0 and confirmatory factor analysis and structural equation model analysis by AMOS 22.0. The results were as follows. First, the analysis of fashion brand apps factors showed that it consist of 2 kinds of dimensions of basic information type and additional information type. Second, basic information type of fashion brand apps have had a direct impact on consumer satisfaction and did not affect the smartphones flow. Additional information type influence consumer satisfaction through a smartphones flow. Basic information type of fashion brand apps showed a greater impact on consumer satisfaction than a smartphone flow. A managerial implication was discussed for fashion brand marketers to develop strategies on fashion brand apps that could stimulate and increase the consumer flow and satisfaction.

• 지질공학
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• 제32권4호
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• pp.547-558
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• 2022

2020년 8월 집중호우로 인하여 전라남도 곡성지역에 토석류가 발생하여 5명이 사망하는 재난이 발생하였다. 이 지역을 대상으로 하여 사진 측량을 통해 0.03 m의 고해상도 지형정보를 구축하고 토사의 붕괴량을 측정하였다. 또한 Flo-2D를 이용하여 토석류의 유량과 지형정보의 차이에 따라 유동심, 유속, 확산면적에 대하여 민감도 분석을 수행하였다. 유량이 높아질수록 토석류의 유동심, 유속, 확산면적이 높아지며 고해상도 지형정보와 저해상도 지형정보와의 결과 차이도 높아지는 것으로 나타났다. 그리고, 고해상도의 지형정보를 적용하였을 때 실제의 토석류 흐름방향과 유사하게 계산되어 고해상도 지형정보의 적용이 토석류 해석 결과의 정확성을 높이는 결과를 정량적으로 분석하였다. 추가로 항복응력과 점성과 같은 지질정보에 대해 고려하면 전반적으로 실제 토석류의 확산 정보보다 작게 계산된 결과를 보완할 수 있을 것으로 판단된다.

• 디지털융복합연구
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• 제14권6호
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• pp.253-261
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• 2016

PC 와 모바일 기기에 있는 다양한 프로그램을 이용하여 인터넷을 이용하는 사람들이 늘어날수록 프로그램에서 개인정보 등이 유출될 가능성은 매우 높아지고 있다. 따라서 인터넷을 사용하는 프로그램에서 정보흐름의 안전성 분석을 한 후에 개인정보의 유출이 없는 안전한 프로그램을 사용해야 한다. 정보흐름의 안전성 분석은 프로그램 내에서 정보의 흐름이 안전한지 분석하는 방법으로 정보흐름이 안전하면 개인정보 유출이 없고 안전하지 않으면 개인정보 유출이 발생할 수 있다. 본 논문에서는 SAT 해결기를 활용하여 정보흐름 분석을 수행하는 방법을 제시한다. 이 방법은 보안 수준이 설정된 변수를 포함하는 프로그램을 제어와 정보흐름을 나타내는 명제 논리식으로 변환하고, SAT 해결기를 이용해 명제 논리식으로부터 만족가능성 여부를 판단한다. 판단된 결과를 통해 프로그램에서 정보흐름이 안전한지 알 수 있으며, 안전하지 않은 경우 반례를 생성하여 어느 부분에서 안전하지 않은 지 알 수 있다.

• 한국공간정보시스템학회 논문지
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• 제11권2호
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• pp.45-53
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• 2009

The fast progress on multimedia data acquisition technologies has enabled collecting vast amount of videos in real time. Although the amount of information gathered from these videos could be high in terms of quantity and quality, the use of the collected data is very limited typically by human-centric monitoring systems. In this paper, we propose a framework for analyzing long traffic video using series of content-based analyses tools. Our framework suggests a method to integrate theses analyses tools to extract highly informative features specific to a traffic video analysis. Our analytical framework provides (1) re-sampling tools for efficient and precise analysis, (2) foreground extraction methods for unbiased traffic flow analysis, (3) frame property analyses tools using variety of frame characteristics including brightness, entropy, Harris corners, and variance of traffic flow, and (4) a visualization tool that summarizes the entire video sequence and automatically highlight a collection of frames based on some metrics defined by semi-automated or fully automated techniques. Based on the proposed framework, we developed an automated traffic flow analysis system, and in our experiments, we show results from two example traffic videos taken from different monitoring angles.