• Title, Summary, Keyword: Threat

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Fuzzy Rule-Based Method for Air Threat Evaluation (적기의 위협 평가 자동화를 위한 퍼지 규칙 방법론)

  • Choi, Byeong Ju;Kim, Ji Eun;Kim, Jin Soo;Kim, Chang Ouk
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.1
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    • pp.57-65
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    • 2016
  • Threat evaluation is a process to estimate the threat score which enemy aerial threat poses to defended assets. The objective of threat evaluation is concerned with making an engagement priority list for optimal weapon allocation. Traditionally, the threat evaluation of massive air threats has been carried out by air defence experts, but the human decision making is less effective in real aerial attack situations with massive enemy fighters. Therefore, automation to enhance the speed and efficiency of the human operation is required. The automatic threat evaluation by air defense experts who will perform multi-variable judgment needs formal models to accurately quantify their linguistic evaluation of threat level. In this paper we propose a threat evaluation model by using a fuzzy rule-based inference method. Fuzzy inference is an appropriate method for quantifying threat level and integrating various threat attribute information. The performance of the model has been tested with a simulation that reflected real air threat situation and it has been verified that the proposed model was better than two conventional threat evaluation models.

A Study on the Quantitative Threat-Level Assessment Measure Using Fuzzy Inference (퍼지추론을 이용한 정량적 사이버 위협 수준 평가방안 연구)

  • Lee, Kwang-ho;Kim, Jong-Hwa;Kim, Jee-won;Yun, Seok Jun;Kim, Wanju;Jung, Chan-gi
    • Convergence Security Journal
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    • v.18 no.2
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    • pp.19-24
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    • 2018
  • In this study, for evaluating the cyber threat, we presented a quantitative assessment measures of the threat-level with multiple factors. The model presented in the study is a compound model with the 4 factors; the attack method, the actor, the strength according to the type of the threat, and the proximity to the target. And the threat-level can be quantitatively evaluated with the Fuzzy Inference. The model will take the information in natural language and present the threat-level with quantified data. Therefore an organization can accurately evaluate the cyber threat-level and take it into account for judging threat.

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Threat Decision Algorithm of Missile Warning Radar Using Azimuth Angular Rate (방위각 변화율을 이용한 방호용레이다 위협 판단 알고리즘)

  • Ha, Jong-Soo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.1
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    • pp.93-101
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    • 2008
  • It is difficult for a MWR(Missile Warning Radar) to perform a threat decision accurately since there is no tracking part which gives more accurate threat information to the MWR. In this paper, the threat decision algorithm is proposed using an azimuth angular rate to improve the accuracy. The azimuth angular rate is dependent upon the direction of an approaching target. The target is classified into a threat or non-threat using a boundary condition of the azimuth angular rate. The boundary condition is determined using the Monte-Carlo simulation. The performance of the proposed algorithm is evaluated using this condition at field tests of MWR. The efficiency of the proposed method for the threat decision is proved by comparing the results of field tests with the simulation results.

Threat Unification using Multi-Sensor Simulator of Battlefield Helicopter and Its Implementation (전장 헬기의 다중센서 시뮬레이터를 통한 위협통합 및 구현)

  • Park, Hun-Woo;Kang, Shin-Bong;Noh, Sang-Uk;Jeong, Un-Seob
    • Journal of Internet Computing and Services
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    • v.10 no.3
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    • pp.35-49
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    • 2009
  • In electronic warfare settings, battlefield helicopters identify various threats based upon threat data, which are acquired using their multi-sensors of aircraft survivability equipment (ASE). To continually function despite of potential threats and successfully execute their missions, the battlefield helicopters have to repeatedly report threats in simulated battlefield situations. Toward this ends, the paper presents threat unification using multi-sensor simulator and its implementation. The simulator consists of (1) threat attributes generator, which models threats against battlefield helicopters and defines their specific attributes, (2) threat data generator, which generates threats, being similar to real ones, using normal, uniform, and exponential distributions, and (3) graphic display for threat analysis and unification, which shows unified threat information, for example, threat angle and its level. We implement a multi-sensor threat simulator that can be repeatedly operable in various simulated battlefield settings. Further, we report experimental results that, in addition to tangibly modeling the threats to battlefield helicopters, test the capabilities of threat unification using our simulator.

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Algorithm for Threat Data Integration of Multiple Sensor and selection of CounterMeasures (이기종 다중센서 위협데이터 통합 및 대응책 선정 알고리즘)

  • Go, Eun-Kyoung;Woo, Sang-Min;Jeong, Un-Seob
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.3
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    • pp.474-481
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    • 2011
  • The Electronic Warfare Computer for the Aircraft Survivability Equipment will improve the ability for countermeasures by analysis about threat information. This paper suggests method that threat data integration of multiple sensors(Radar Warning Receiver, Laser Warning Receiver, Missile Warning Receiver). The algorithm of threat data integration is based on detected threat sequence and azimuth information. The threat sequence information is analyzed in advance and the azimuth data is received from sensors. The suggested method is evaluated through simulation under the environment like real helicopter.

The Threat List Acquisition Method in an Engagement Area using the Support Vector Machines (SVM을 이용한 교전영역 내 위협목록 획득방법)

  • Koh, Hyeseung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.2
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    • pp.236-243
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    • 2016
  • This paper presents a threat list acquisition method in an engagement area using the support vector machines (SVM). The proposed method consists of track creation, track estimation, track feature extraction, and threat list classification. To classify the threat track robustly, dynamic track estimation and pattern recognition algorithms are used. Dynamic tracks are estimated accurately by approximating a track movement using position, velocity and time. After track estimation, track features are extracted from the track information, and used to classify threat list. Experimental results showed that the threat list acquisition method in the engagement area achieved about 95 % accuracy rate for whole test tracks when using the SVM classifier. In case of improving the real-time process through further studies, it can be expected to apply the fire control systems.

A Study on the Threat-Level Assessment Model Developmnet using Fuzzy Theory (퍼지이론 이용한 적 위협수준평가 모델개발 연구)

  • Jang, Dong-Hak;Hong, Yoon-Gee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.7
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    • pp.3245-3250
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    • 2011
  • This study introduces a threat level assessment model adapting Fuzzy theories in order to help make decisions for better covering quantitative factors and qualitative ones together. The threat is classified into three major categories - one resulting from navigational condition, another from target vessel specification and the other from external decision environment. The threat levels by each category are examined by a fuzzy inference, and its corresponding weights are assigned via fuzzy measures. Finally the high level threat measures become integrated via a Choquet Fuzzy Integral method into ultimate threat level indicators.

The Design and Implementation of Simulated Threat Generator based on MITRE ATT&CK for Cyber Warfare Training (사이버전 훈련을 위한 ATT&CK 기반 모의 위협 발생기 설계 및 구현)

  • Hong, Suyoun;Kim, Kwangsoo;Kim, Taekyu
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.6
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    • pp.797-805
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    • 2019
  • Threats targeting cyberspace are becoming more intelligent and increasing day by day. To cope with such cyber threats, it is essential to improve the coping ability of system security officers. In this paper, we propose a simulated threat generator that automatically generates cyber threats for cyber defense training. The proposed Simulated Threat Generator is designed with MITRE ATT & CK(Adversarial Tactics, Techniques and Common Knowledge) framework to easily add an evolving cyber threat and select the next threat based on the threat execution result.

A Study for Cyber Situation Awareness System Development with Threat Hunting (위협 헌팅을 적용한 사이버 상황인식 시스템 개발에 관한 연구)

  • Lee, Jaeyeon;Choi, Jeongin;Park, Sanghyun;Kim, Byeongjin;Hyun, Dae-Won;Kim, Gwanyoung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.6
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    • pp.807-816
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    • 2018
  • Threat hunting is defined as a process of proactively and iteratively searching through networks to detect and isolate advanced threats that evade existing security solutions. The main concept of threat hunting is to find out weak points and remedy them before actual cyber threat has occurred. And HMM(Hunting Maturity Matrix) is suggested to evolve hunting processes with five levels, therefore, CSOC(Cyber Security Operations Center) can refer HMM how to make them safer from complicated and organized cyber attacks. We are developing a system for cyber situation awareness system with pro-active threat hunting process called unMazeTM. With this unMaze, it can be upgraded CSOC's HMM level from initial level to basic level. CSOC with unMaze do threat hunting process not only detecting existing cyber equipment post-actively, but also proactively detecting cyber threat by fusing and analyzing cyber asset data and threat intelligence.

Roles of Threat and Coping Appraisal in Adoption of Green Information Technology: Ordered Protection Motivation Theory Perspective

  • Lee, Namyeon;Jin, Yanshou;Kwon, Ohbyung
    • Asia pacific journal of information systems
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    • v.23 no.2
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    • pp.87-109
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    • 2013
  • While many surveys show very positive attitudes on the part of consumers towards eco-friendly products, the market share actually reflecting green IT purchases remains low in most countries. The motivations behind green IT purchase behavior are still obscure. Several studies have addressed the question of green IT diffusion from economic and normative viewpoints in an attempt to interpret IT adoption behavior. This study comes at the question from a different angle, namely negative frame, examining threat and coping behaviors using the Ordered Protection Motivation (OPM) model and threat appraisal theory. The results show that attitudes toward fairness and positive change, which are precedents of threat appraisal, play an important role in determining threat appraisal. Perceived threats in the green IT arena include habit change and ecological change. Appraisal for coping with these threats directly affects initial adoption behaviors regarding available green IT, and then indirectly encourages the purchase of new green IT products.

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