• Title/Summary/Keyword: 외부적 분할

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산업 제어 시스템 네트워크 분석 저지를 위한 트래픽 난분석화 기법

  • Lee, Yangjae;Jung, Hye-Lim;Ahn, Sung-Kyu;Park, Ki-Woong
    • Review of KIISC
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    • v.30 no.5
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    • pp.25-33
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    • 2020
  • 산업 제어 시스템 대상 원격 관제 기술은 관리자의 즉각적 대응을 통해 산업 재해 발생 확률 저하를 위한 핵심기술로 주목받고 있다. 그러나 산업 제어 시스템 원격 관제 기술은 원격의 관리자와 통신하기 위해 외부 네트워크 연결이 필수적이며, 따라서 공격자들에게 기존 산업 제어 시스템에 존재하지 않던 새로운 네트워크 취약점을 노출하게 된다. 산업 제어시스템은 네트워크 취약점을 해결하기 위해 터널링 프로토콜 또는 패킷 암호화 솔루션을 사용하고 있지만, 이러한 솔루션은 패킷 메타데이터를 분석하는 네트워크 트래픽 분석 공격을 방어하지 못한다. 공격자는 네트워크 트래픽 분석을 통해 패킷의 송수신 대상, 통신 빈도, 활성화 상태 등을 알 수 있으며 획득한 정보를 다음 공격을 위한 초석으로 사용할 수 있다. 따라서 기존의 솔루션들이 해결하지 못하는 산업 제어 시스템 네트워크 환경에서 발생하는 잠재적인 문제들을 해결하기 위해 네트워크 트래픽 분석 난이도를 향상시켜 분석을 방어하는 솔루션이 필요하다. 본 논문에서는 패킷 메타데이터를 분석하는 네트워크 트래픽 분석 공격을 어렵게 하고자 패킷 분할 및 병합 기반 네트워크 트래픽 난분석화 기법을 제안한다. 본 논문에서 제안하는 기법의 참여자인 관리자와 산업 기기는 각각 일정한 크기의 그룹으로 묶인다. 그리고 원격 관제를 위해 관리자와 산업 기기 간 송수신되는 모든 패킷을 대상으로 분할 노드를 경유하도록 한다. 분할노드는 패킷의 난분석화를 위한 핵심 요소로써, 관리자와 산업 기기 사이에 송수신되는 모든 패킷을 상호 목적 대상 그룹의 개수로 분할한다. 그리고 분할한 패킷 조각에 패킷 식별자와 번호를 부여하여 패킷 조각을 모두 수신한 목적대상이 올바르게 패킷을 병합할 수 있도록 하였다. 그리고 분할노드는 목적 대상이 속한 그룹의 모든 참여자에게 서로 다른 패킷 조각들을 전달함으로써 공격자가 패킷의 흐름을 알 수 없도록 하여 산업 제어 시스템 정보를 수집하는 것을 방어한다. 본 논문에서 제안하는 패킷 분할 및 병합 기반 트래픽 난분석화 기법을 통해 산업 제어 시스템을 대상으로 한 트래픽 분석 공격을 방어함으로써 네트워크 공격의 피해를 줄이고 추가적인 네트워크 공격을 차단할 수 있을 것으로 기대된다.

Analysis of Career Strategy according to Career Identity Confusion at the Each Life Career Branching Point (생애진로분기점별 진로정체성 혼돈에 따른 진로전략 분석)

  • Son, Min-Jeong;Cho, In-Soo;Choi, Jeong-Eun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.6
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    • pp.299-323
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    • 2018
  • This study confirmed the life career branching points, and studied qualitatively the career strategy and career identity at that time. The participants in this study were three students from third graders of middle school, three ones from third graders of high school, and three before and after college graduation, which correspond to the vertical transition stage of school education. Three participants were selected before and after 30 years of age, three before and after 40 years of age, and three before and after 60 years of age. Subject analysis of the contents of the 18 interviews, showed that the life career branching point appeared in middle school grade 3, high school grade 3, until employment after graduation, within 3 years after entering their first job, early 40 years, 60 years old, and 80 years old. Second, external situations were due to the influence of important others, or external stimuli, environment, and career events. Third, negative emotions were repeated for each life career branching point. Fourth, as a result of the interview, the career identity confusion was repeated in every life career branching point. Fifth, the career strategy at the life career branching point was categorized as an approach strategy and avoidance strategy.

Adaptive Skin Segmentation based on Region Histogram of Color Quantization Map (칼라 양자화 맵의 영역 히스토그램에 기반한 조명 적응적 피부색 영역 분할)

  • Cho, Seong-Sik;Bae, Jung-Tae;Lee, Seong-Whan
    • Journal of KIISE:Software and Applications
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    • v.36 no.1
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    • pp.54-61
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    • 2009
  • This paper proposes a skin segmentation method based on region histograms of the color quantization map. First, we make a quantization map of the image using the JSEG algorithm and detect the skin pixel. For the skin region detection, the similar neighboring regions are set by its similarity of the size and location between the previous frame and the present frame from the each region of the color quantization map. Then we compare the similarity of histogram between the color distributions of each quantized region and the skin color model using the histogram distance. We select the skin region by the threshold value calculated automatically. The skin model is updated by the skin color information from the selected result. The proposed algorithm was compared with previous algorithms on the ECHO database and the continuous images captured under time varying illumination for adaptation test. Our approach shows better performance than previous approaches on skin color segmentation and adaptation to varying illumination.

AI Analysis Method Utilizing Ingestible Bio-Sensors for Bovine Calving Predictions

  • Kim, Heejin;Min, Younjeong;Choi, Changhyuk;Choi, Byoungju
    • The Journal of Korean Institute of Information Technology
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    • v.16 no.12
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    • pp.127-137
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    • 2018
  • Parturition is an important event for farmers as it provides economic gains for the farms. Thus, the effective management of parturition is essential to farm management. In particular, the unit price of cattle is higher than other livestock and the productivity of cattle is closely associated to farm income. In addition, 42% of calving occurs in the nighttime so accurate parturition predictions are all the more important. In this paper, we propose a method that accurately predicts the calving date by applying core body temperature of cattle to deep learning. The body temperature of cattle can be measured without being influenced by the ambient environment by applying an ingestible bio-sensor in the cattle's rumen. By experiment on cattle, we confirmed this method to be more accurate for predicting calving dates than existing parturition prediction methods, showing an average of 3 hour 40 minute error. This proposed method is expected to reduce the economic damages of farms by accurately predicting calving times and assisting in successful parturitions.

Surface Rendering in Abdominal Aortic Aneurysm by Deformable Model (복부대동맥의 3차원 표면모델링을 위한 가변형 능동모델의 적용)

  • Choi, Seok-Yoon;Kim, Chang-Soo
    • The Journal of the Korea Contents Association
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    • v.9 no.6
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    • pp.266-274
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    • 2009
  • An abdominal aortic aneurysm occurs most commonly in older individuals (between 65 and 75), and more in men and smokers. The most important complication of an abdominal aortic aneurysm is rupture, which is most often a fatal event. An abdominal aortic aneurysm weakens the walls of the blood vessel, leaving it vulnerable to bursting open, or rupturing, and spilling large amounts of blood into the abdominal cavity. surface modeling is very useful to surgery for quantitative analysis of abdominal aortic aneurysm. the 3D representation and surface modeling an abdominal aortic aneurysm structure taken from Multi Detector Computed Tomography. The construction of the 3D model is generally carried out by staking the contours obtained from 2D segmentation of each CT slice, so the quality of the 3D model strongly defends on the precision of segmentation process. In this work we present deformable model algorithm. deformable model is an energy-minimizing spline guided by external constraint force. External force which we call Gradient Vector Flow, is computed as a diffusion of a gradient vectors of gray level or binary edge map derived from the image. Finally, we have used snakes successfully for abdominal aortic aneurysm segmentation the performance of snake was visually and quantitatively validated by experts.

Neonatal Respiratory Distress Syndrome Diagnosis Method Based on X-ray Images Using Semantic Segmentation (의미론적 분할을 이용한 X-ray 영상 기반 신생아 호흡곤란 증후군 진단 기법)

  • Jang, Eojin;Cho, Hanyong;You, Sunkyoung;Gang, Mi Hyeon;Jang, Haneol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.539-542
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    • 2022
  • 신생아 호흡곤란 증후군은 주로 미숙아에게 발생하는 호흡기 질환으로, 특징적 영상 소견 및 다른 검사 소견을 바탕으로 진단된다. 본 논문은 기계 장치 등 외부 요소의 영향을 최소화하고자 폐 영역을 분할하여 신생아 호흡곤란 증후군을 진단하는 기법을 제안한다. 분할에는 UNet 구조를 사용하고 진단에는 EfficientNet-B5를 사용하여 최종적으로 신생아 호흡곤란 증후군의 진단 정확도 0.852를 달성하였다.

Detection and Prevention of Bypassing Attack on VLAN-Based Network Segmentation Environment (VLAN을 이용한 네트워크 분할 환경에서의 네트워크 접근 제어 우회 공격 탐지 및 방어 기법)

  • Kim, Kwang-jun;Hwang, Kyu-ho;Kim, In-kyoung;Oh, Hyung-geun;Lee, Man-hee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.28 no.2
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    • pp.449-456
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    • 2018
  • Many organizations divide the network to manage the network in order to prevent the leakage of internal data between separate organizations / departments by sending and receiving unnecessary traffic. The most fundamental network separation method is based on physically separate equipment. However, there is a case where a network is divided and operated logically by utilizing a virtual LAN (VLAN) network access control function that can be constructed at a lower cost. In this study, we first examined the possibility of bypassing the logical network separation through VLAN ID scanning and double encapsulation VLAN hopping attack. Then, we showed and implemented a data leak scenario by utilizing the acquired VLAN ID. Furthermore, we proposed a simple and effective technique to detect and prevent the double encapsulation VLAN hopping attack, which is also implemented for validation. We hope that this study improves security of organizations that use the VLAN-based logical network separation by preventing internal data leakage or external cyber attack exploiting double encapsulation VLAN vulnerability.

A Basic Study of Obstacles Extraction on the Road for the Stability of Self-driving Vehicles (자율주행 차량의 안전성을 위한 도로의 장애물 추출에 대한 기초 연구)

  • Park, Chang min
    • Journal of Platform Technology
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    • v.9 no.2
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    • pp.46-54
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    • 2021
  • Recently, interest in the safety of Self-driving has been increasing. Self-driving have been studied and developed by many universities, research centers, car companies, and companies of other industries around the world since the middle 1980s. In this study, we propose the automatic extraction method of the threatening obstacle on the Road for the Self-driving. A threatening obstacle is defined in this study as a comparatively large object at center of the image. First of all, an input image and its decreased resolution images are segmented. Segmented areas are classified as the outer or the inner area. The outer area is adjacent to boundaries of the image and the other is not. Each area is merged with its neighbors when adjacent areas are included by a same area in the decreased resolution image. The Obstacle area and Non Obstacle area are selected from the inner area and outer area respectively. Obstacle areas are the representative areas for the obstacle and are selected by using the information about the area size and location. The Obstacle area and Non Obstacle area consist of the threatening obstacle on the road. Through experiments, we expect that the proposed method will be able to reduce accidents and casualties in Self-driving.

Collision Detection for Large-Scaled Environments (넓은 가상공간에서의 충돌검출)

  • 이승욱;박경환
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04c
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    • pp.217-219
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    • 2003
  • 본 논문에서는 실시간으로 상호작용이 가능한 광범위한 3차원의 넓은 외부영역을 렌더링하기 위해 공간문할 방법으로 제한적 옥트리를 이용하고, 충돌검출 방법으로 계층적 경계상자를 사용하여 효과적으로 충돌검출을 하는 방법을 소개한다. 넓은 외부 영역을 동적으로 빠르게 처리하기 위해 공간을 분할시켜 처리영역을 축소하고 3차원 공간을 고정볼륨 바운드를 구축한 후 이를 처리 값으로 이용한 계층적 경계상자를 이용하여 충돌처리를 한다. 옥트리는 정적인 물체에 대한 정확한 표현 시 주로 사용되나 본 논문에서는 이를 동적인 환경에 이용하기 위하여 제한적 OSF를 사용한다. 또한 폴리곤의 충돌검사를 모두 하지 않고 빠른 시간에 충돌검출을 판단할 수 있는 방법과 경계상자의 충돌검출에 대한 비용이 3차원 개체 개수에 대해 비례하여 증가하는 데에 대한 개선 방법을 제안한다.

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The Study of Vascular Dynamics for the Effect of a Compress Pack on Pain Relief using Magnetic Resonance Angiography (자기공명영상을 이용한 찜질 자극에 의한 통증 완화 효과에 대한 혈류 영상학적 고찰)

  • Baek, Ji-Won;Lim, Young-Khi
    • Journal of Radiation Protection and Research
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    • v.40 no.4
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    • pp.277-282
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    • 2015
  • This study was to investigate the effects of the hot compress pack on alleviating local muscular discomfort, stiffness in limbs as well as the chronic pains such as migraine in terms of hemodynamics. In this study, the hot compress band was put on the neck and the local physiological change on the stimulation site and the cranial blood circulation change were examined. We recruited healthy volunteers (n=8, mean age: 32.13 (4.61)), who participated in the magnetic resonance imaging (MRI) study. Local skin color and temperature were measured for the local effect of the hot compress band and the changes of intra-cranial and extra-cranial blood vessels were examined with MR angiography (MRA) images. The skin temperature increased from $36.4^{\circ}C$ at the rest condition to $36.7^{\circ}C$ and $37.1^{\circ}C$ after 15 min and 30 min stimulation, respectively. The change of the extra-cranial blood vessels between pre-stimulation and post-stimulation of 30 min was significantly increased (+38.8%), while the change of the intra-cranial blood vessels was negligible. In this study, we demonstrated that the hot compress band on the neck yielded the increase of local skin temperature on the stimulation site and it made an effect on the extracranial circulation. In conclusion, the stimulation with a hot compress could facilitate the blood circulation, causing to relieve the muscular discomfort, stiffness in limbs as well as the chronic pains such as migraine.