• Title/Summary/Keyword: 방어 모델

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Defense Techniques of Smishing Attacks Using Electronic signature on Network Environment (전자서명을 이용한 스미싱 공격 방어 기법)

  • Choi, Byung-Hwan
    • Annual Conference of KIPS
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    • 2014.11a
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    • pp.399-402
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    • 2014
  • 본 논문에서는 스미싱 공격에 대해서 Host기반에 의한 탐지가 아닌 네트워크 기반에서 전자서명을 이용한 모델을 제안한다. 본 모델은 네트워크 기반에서 유입된 트래픽 중 문자 메시지를 분석하여, 문자메시지 중에서 URL이 포함된 경우 트래픽을 우회하여 라우팅을 전환시켜 URL을 포함한 문자메시지 트래픽에 대해서 별도의 망구간으로 분리를 시킨다. 별도 분리된 URL이 포함된 트래픽에 대해서 apk파일 다운로드가 없는 경우에는 통과를 시키고, apk 파일 다운로드를 시도하는 트래픽에 대해서는 전자서명을 검사후, 등록이 안되어 있는 경우 차단을 한다. 이는 기본적으로 전자서명이 되지 않은 apk파일에 대한 다운로드를 원천적으로 봉쇄함으로써 스미싱 공격에 대한 근복적인 방어를 하는 방식이다. 본 모델은 Host기반에서 발생할 수 있는 우회공격을 방지하여 스미싱 위협을 해소할 수 있다. 기존 Host기반 스미싱 방지 모델의 동작 방식과 설계를 통해 장점과 단점을 언급하고 네트워크 기반에서 전자서명을 이용한 스미싱 방어의 타당성을 증명하도록 한다.

Development of Simulation Tool for Ship Self Defense Scenario Using Naval Multi Function Radar (함정용 다기능 레이다를 이용한 자함 방어 시나리오 시뮬레이션 도구 개발)

  • Park, Myung-Hoon;Kim, Chang-Hwan;Kim, Hyun-Seung;Go, Jin-Yong;Jeon, Woo-Joong;Kwon, Se-Woong;Lee, Ki-Won;Kang, Yeon-Duk;Yoo, Seung-Ki
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.2
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    • pp.87-96
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    • 2020
  • The multi function radar is searching target and tracking through resource management at the same time. Increasing resource allotment of track, if more targets and faster the renewal rate of track, lead to decreasing quota of searching resource in limited resource. When the resource of search are decreased, it becomes degrade searching performance such as revisit time, number of detecting chance and tracking etc. Degraded performance of search reduces guided missile defense probability in complex strategy such as ship self defense. In this paper, we developed a modeling and simulation (M&S) tool that uses own-ship model, radar model, target model and defense model for analysis of self defense in complex strategy. We analyzed influence of ship self defense in complex strategy according to various target environments and track performance.

Optimization of Radiation Protection Using Markov Model (마코프 모델을 이용한 방사선 방어의 최적화)

  • Chung, Jin-Yop;Lee, Kun-Jai
    • Journal of Radiation Protection and Research
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    • v.14 no.2
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    • pp.1-9
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    • 1989
  • An analytic method for quantitative comparisions between the alternatives for radiation protection optimization is required to aid the decision making process. This paper introduces the dynamic Markov model to evaluate the effect of inservice inspection, testing, and repair activities of the plant on radiation protection. In the example to put the Markov model into practice, the steam generator inspection intervals which minimize expected cost and total exposure dose were determined using the data for Kori-2 unit and foreign plants. The results show that the effect of the radiation exposure on the steam generator inspection interval is determined by the cost rather than the radiation exposure. The Markov model used in the example can be applied easily to the domestic NPPs by replenishing the data and also can be used in evaluating the comparative priority between various alternatives for radiation protection optimization.

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Analysis on Thermal Structural Characteristics of Thermal Protection System Panel for a High-speed Vehicle (초고속 비행체 열방어 시스템 패널의 열구조 특성 분석)

  • Lee, Heesoo;Kim, Yongha;Park, Jungsun;Goo, Namseo;Kim, Jaeyoung
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2017.05a
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    • pp.942-944
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    • 2017
  • High-speed vehicles are subjected to complex loads, such as acoustic pressure from the engine at launch and aerodynamic heating and aerodynamic pressure during flight. A thermal protection system panel is required to protect internal systems such as the fuel tank of the vehicle from the external environment. This study defines analytical models for heat transfer and thermal structure characteristics of the thermal protection system panel. Furthermore, the study performed parameters analysis to achieve the thermal structural integrity and to make it lighter.

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Research on Experimentation Methodology for Analysing Parameter Sensitivity of Hard-Kill Torpedo Defence System in Engagement Stage (하드-킬 어뢰 방어체계 최종 교전단계에서의 파라미터 민감도 분석을 위한 모의시험 모델 연구)

  • Cho, Hyunjin;Kim, Wanjin
    • Journal of the Korea Society for Simulation
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    • v.30 no.1
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    • pp.21-29
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    • 2021
  • This paper introduces experimental design and components model for analysing the impact of parameter(in the field of kinematics and sensor) on performance of hard-kill torpedo defence system. The simulation is implemented at the level of engagement and its scope is limited to final stage of engagement where main function of anti-torpedo system is operating. It improves the fidelity of physical realism by precise model of simulation components in the perspectives of kinematics, sensor capability and acoustic detection theory. This paper provides the experimentation methodology for evaluating parameter sensitivity which is required to analyze in advance of development the defense system with novel concepts. In addition, the experimental result shows the tendency of defense capability according to parameter adjustments.

Detection Model based on Deeplearning through the Characteristics Image of Malware (악성코드의 특성 이미지화를 통한 딥러닝 기반의 탐지 모델)

  • Hwang, Yoon-Cheol;Mun, Hyung-Jin
    • Journal of Convergence for Information Technology
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    • v.11 no.11
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    • pp.137-142
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    • 2021
  • Although the internet has gained many conveniences and benefits, it is causing economic and social damage to users due to intelligent malware. Most of the signature-based anti-virus programs are used to detect and defend this, but it is insufficient to prevent malware variants becoming more intelligent. Therefore, we proposes a model that detects and defends the intelligent malware that is pouring out in the paper. The proposed model learns by imaging the characteristics of malware based on deeplearning, and detects newly detected malware variants using the learned model. It was shown that the proposed model detects not only the existing malware but also most of the variants that transform the existing malware.