• Title/Summary/Keyword: 보안 모델링

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Lighting Improvement for Propriety Management of Security Installations (보안설비의 적정관리를 위한 조명개선)

  • Lee, Gae-Myoung;Oh, Seong-Bo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.2
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    • pp.1370-1374
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    • 2015
  • Lighting improvements are needed for adequate operation of security installations according to the turn of scientific policing instead of human policing. The basic principles of security lighting is to provide sufficient lighting over a specific area so that anyone moving in or around can be seen easily. Also, in security lighting, illuminance and uniformity are to be considered for clearing of CCTV screen through the lighting improvement. To achieve such goals, each pole is to be considered of the height and the space of luminaries as well as the wattage and the type of lamps. In this paper, the lighting designs show the adequate operations of fence security systems through the actual measurement of illuminance by mock-up and the illuminance analyses for obtaining proper illuminance and uniformity value to keep brightness of CCTV screen able to confirm objects considering characteristics of CCTV monitor by simulations.

Security Analysis on 'Privacy-Preserving Contact Tracing Specifications by Apple and Google' and Improvement with Verifiable Computations ('애플과 구글의 코로나 접촉 추적 사양'에 대한 보안성 평가 및 검증 가능한 연산을 이용한 개선)

  • Kim, Byeong Yeon;Kim, Huy Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.31 no.3
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    • pp.291-307
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    • 2021
  • There has been global efforts to prevent the further spread of the COVID-19 and get society back to normal. 'Contact tracing' is a crucial way to detect the infected person. However the contact tracing makes another concern about the privacy violation of the personal data of infected people, released by governments. Therefore Google and Apple are announcing a joint effort to enable the use of Bluetooth technology to help governments and health agencies reduce the spread of the virus, with user privacy and security central to the design. However, in order to provide the improved tracing application, it is necessary to identify potential security threats and investigate vulnerabilities for systematically. In this paper, we provide security analysis of Privacy-Preserving COVID-19 Contact Tracing App with STRIDE and LINDDUN threat models. Based on the analysis, we propose to adopt a verifiable computation scheme, Zero-knowledge Succinctness Non-interactive Arguments of Knowledges (zkSNARKs) and Public Key Infrastructure (PKI) to ensure both data integrity and privacy protection in a more practical way.

Real-time Anomaly Detection System Using HITL Simulation-Based UAV Packet Data (HITL 시뮬레이션 기반 무인비행체 패킷 데이터를 활용한 실시간 이상 탐지 시스템)

  • Daekyeong Park;Byeongjin Kim
    • Convergence Security Journal
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    • v.23 no.2
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    • pp.103-113
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    • 2023
  • In recent years, Unmanned Aerial Vehicles (UAV) have been widely used in various industries. However, as the depend ence on UAV increases rapidly, concerns about the security and safety of UAV are growing. Currently, various vulnerabili ties such as stealing the control right of the UAV or the right to communicate with the UAV in the web application are being disclosed. However, there is a lack of research related to the security of UAV. Therefore, in this paper, a study was conducted to determine whether the packet data was normal or abnormal by collecting packet data of an unmanned aerial vehicle in a HITL(Hardware In The Loop) simulation environment similar to the real environment. In addition, this paper proposes a method for reducing computational cost in the modeling process and increasing the ease of data interpretation, a machine learning-based anomaly detection model that detects abnormal data by learning only normal data, and optimized hyperparameter values.

A Study on the Discrimination Criteria of AMOLED-related Patents, a National Core Technology of Display Industry (디스플레이 분야 국가핵심기술인 AMOLED 관련 특허의 판별 기준 연구)

  • Se Hee Pak;Hang Bae Chang
    • Convergence Security Journal
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    • v.24 no.2
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    • pp.105-121
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    • 2024
  • Korea operates a national core technology system to protect important technologies at the national level. In the administrative procedures of the nation's core technology, the deliberation process conducted by qualitative evaluation by related industry experts is important. As the need for timely and appropriate technology protection increased, the need to shorten the time required for administrative procedures related to the designation and removal of national core technologies was raised. Therefore, this study studied the criteria for identifying patents related to national core technologies. For AMOLED, a national core technology in the display field, LDA topic modeling was applied to related news and papers to derive important technology and its trends, and mapped to AMOLED advanced technology processes under Article 5 of the Industrial Development Act to prepare criteria for discrimination. Since then, objective verification has been conducted through AMOLED national core technology patents already known. Through this study, patents related to AMOLED national core technologies can be identified, which can shorten the time for related administrative procedures.

Feasibility Analysis on the Attack Graph Applicability in Selected Domains

  • Junho Jang;Saehee Jun;Huiju Lee;Jaegwan Yu;SungJin Park;Su-Youn Hong;Huy Kang Kim
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.5
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    • pp.57-66
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    • 2023
  • In this paper, a research trend of attack graph studies for Cyber-Physical System (CPS) environments is surveyed, and we analyse the limitations of previous works and prospect the future directions. 35 among around 150 attack graph studies conducted within 5 years target CPS, and we inspect key features of CPS environment in the security aspect. Also, we categorize and analyze target studies in the aspect of modelling physical systems and considering air gaps, which are derived as key features of the security aspects of CPS. Half of 20 research that we surveyed do not reflect those two features, and other studies only consider one of the two features. In this circumstance, we examine challenges that attack graph studies on CPS environment face. Finally, we expect state-led studies or studies targeting open-spec commercial CPS will dominate.

DDoS Prediction Modeling Using Data Mining (데이터마이닝을 이용한 DDoS 예측 모델링)

  • Kim, Jong-Min;Jung, Byung-soo
    • Convergence Security Journal
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    • v.16 no.2
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    • pp.63-70
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    • 2016
  • With the development of information and communication technologies like internet, the environment where people are able to access internet at any time and at any place has been established. As a result, cyber threats have been tried through various routes. Of cyber threats, DDoS is on the constant rise. For DDoS prediction modeling, this study drew a DDoS security index prediction formula on the basis of event data by using a statistical technique, and quantified the drawn security index. It is expected that by using the proposed security index and coming up with a countermeasure against DDoS threats, it is possible to minimize damage and thereby the prediction model will become objective and efficient.

A Study on Hardware Implementation of 128-bit LEA Encryption Block (128비트 LEA 암호화 블록 하드웨어 구현 연구)

  • Yoon, Gi Ha;Park, Seong Mo
    • Smart Media Journal
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    • v.4 no.4
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    • pp.39-46
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    • 2015
  • This paper describes hardware implementation of the encryption block of the '128 bit block cipher LEA' among various lightweight encryption algorithms for IoT (Internet of Things) security. Round function blocks and key-schedule blocks are designed by parallel circuits for high throughput. The encryption blocks support secret-key of 128 bits, and are designed by FSM method and 24/n stage(n=1, 2, 3, 4, 8, 12) pipeline methods. The LEA-128 encryption blocks are modeled using Verilog-HDL and implemented on FPGA, and according to the synthesis results, minimum area and maximum throughput are provided.

ESP model for predictions Trojan (Trojan 예측을 위한 ESP 모델 구현)

  • Kim, JongMin;Kim, MinSu;Kim, Kuinam J.
    • Convergence Security Journal
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    • v.14 no.5
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    • pp.37-47
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    • 2014
  • A Trojan malicious code is one of largest malicious codes and has been known as a virus that causes damage to a system as itself. However, it has been changed as a type that picks user information out stealthily through a backdoor method, and worms or viruses, which represent a characteristic of the Trojan malicious code, have recently been increased. Although several modeling methods for analyzing the diffusion characteristics of worms have proposed, it allows a macroscopic analysis only and shows limitations in estimating specific viruses and malicious codes. Thus, in this study an ESP model that can estimate future occurrences of Trojan malicious codes using the previous Trojan data is proposed. It is verified that the estimated value obtained using the proposed model is similar to the existing actual frequency in causes of the comparison between the obtained value and the result obtained by the Markov chain.

Implementation of Encryption Module for Securing Contents in System-On-Chip (콘텐츠 보호를 위한 시스템온칩 상에서 암호 모듈의 구현)

  • Park, Jin;Kim, Young-Geun;Kim, Young-Chul;Park, Ju-Hyun
    • The Journal of the Korea Contents Association
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    • v.6 no.11
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    • pp.225-234
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    • 2006
  • In this paper, we design a combined security processor, ECC, MD-5, and AES, as a SIP for cryptography of securing contents. Each SIP is modeled and designed in VHDL and implemented as a reusable macro through logic synthesis, simulation and FPGA verification. To communicate with an ARM9 core, we design a BFM(Bus Functional Model) according to AMBA AHB specification. The combined security SIP for a platform-based SoC is implemented by integrating ECC, AES and MD-5 using the design kit including the ARM9 RISC core, one million-gate FPGA. Finally, it is fabricated into a MPW chip using Magna chip $0.25{\mu}m(4.7mm{\times}4.7mm$) CMOS technology.

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Registration of the 3D Range Data Using the Curvature Value (곡률 정보를 이용한 3차원 거리 데이터 정합)

  • Kim, Sang-Hoon;Kim, Tae-Eun
    • Convergence Security Journal
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    • v.8 no.4
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    • pp.161-166
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    • 2008
  • This paper proposes a new approach to align 3D data sets by using curvatures of feature surface. We use the Gaussian curvatures and the covariance matrix which imply the physical characteristics of the model to achieve registration of unaligned 3D data sets. First, the physical characteristics of local area are obtained by the Gaussian curvature. And the camera position of 3D range finder system is calculated from by using the projection matrix between 3D data set and 2D image. Then, the physical characteristics of whole area are obtained by the covariance matrix of the model. The corresponding points can be found in the overlapping region with the cross-projection method and it concentrates by removed points of self-occlusion. By the repeatedly the process discussed above, we finally find corrected points of overlapping region and get the optimized registration result.

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