• Title/Summary/Keyword: 보안 검색

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A Study on Smart Job Matching Platform for Personal Assistant of the Disabled (장애인 활동보조인의 구인·구직을 위한 비대면 플랫폼에 관한 연구)

  • Kang, Seungae
    • Convergence Security Journal
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    • v.21 no.3
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    • pp.75-80
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    • 2021
  • This study provided personnel and recruitment information related to job offer and job hunting, and proposed a non-face-to-face platform that can facilitate matching of one-time services as well as periodic services. The existing recruitment and job search method for personal assistant of the disabled is a one-way matching method in which a person in charge of the service providing centers assigns an activity assistant belonging to the institution when a consumer requests an personal assistant service, so the choice of job seekers is very weak. The job matching platform of the activity assistant for the disabled can be logged in separately by dividing users and separating them into the interface of the disabled or the disabled family members (job seekers) and activity assistants for the disabled (job seekers). Search for job offer and job seekers that meet their respective conditions, and real-time bidirectional decision-making through the chat function, and when the activity assistance service is completed, recruiters and job seekers can write service reviews and evaluations from their own point of view. The real-time interactive decision-making matching platform will also help minimize blind spots where it is difficult to provide services when short-term or one-time assistance is needed.

A Study on IP Camera Security Issues and Mitigation Strategies (IP 카메라 보안의 문제점 분석 및 보완 방안 연구)

  • Seungjin Shin;Jungheum Park;Sangjin Lee
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.3
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    • pp.111-118
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    • 2023
  • Cyber attacks are increasing worldwide, and attacks on personal privacy such as CCTV and IP camera hacking are also increasing. If you search for IP camera hacking methods in spaces such as YouTube, SNS, and the dark web, you can easily get data and hacking programs are also on sale. If you use an IP camera that has vulnerabilities used by hacking programs, you easily get hacked even if you change your password regularly or use a complex password including special characters, uppercase and lowercase letters, and numbers. Although news and media have raised concerns about the security of IP cameras and suggested measures to prevent damage, hacking incidents continue to occur. In order to prevent such hacking damage, it is necessary to identify the cause of the hacking incident and take concrete measures. First, we analyzed weak account settings and web server vulnerabilities of IP cameras, which are the causes of IP camera hacking, and suggested solutions. In addition, as a specific countermeasure against hacking, it is proposed to add a function to receive a notification when an IP camera is connected and a function to save the connection history. If there is such a function, the fact of damage can be recognized immediately, and important data can be left in arresting criminals. Therefore, in this paper, we propose a method to increase the safety from hacking by using the connection notification function and logging function of the IP camera.

Determining Priority of the Action Plan of Facilitation in Air Transport (Using CK model of Data Envelopment Analysis) (항공부문 출입국 절차 간소화 추진과제의 우선순위 결정 (자료포락분석기법 (DEA)의 CK 모형 적용))

  • Kim, Min-Jung;Hong, Seock-Jin;Kim, Yeon-Myung
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.7-16
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    • 2008
  • The immigration procedure at airports is vital to making passenger and cargo transport faster. The rapid procedure of immigration could be an important determining factor when passengers select an air transport company, one that should have high satisfactory in terms of their service level and efficiency. Therefore, the advanced airport makes it easy for customers and their cargo to proceed. The coordination between authorities related to the Korean international airport is not satisfactory for customers. This paper analyzes the factors necessary to enhance the airport immigration procedure with the movement of aircrafts, passengers, cargo, and post, using the CK(Cook and Kress) model of DEA(Data Envelopment Analysis). From this study, the author found that research and development will be needed to improve the immigration procedure, especially on facilities and their operating systems. There are needed, also, performance indicators and a continuous monitoring system.

A Study on the Image Search System using Mobile Internet (사례 기반 추론법을 이용한 오델로 게임 개발에 관한 연구)

  • Song, Eun-Jee
    • Journal of Digital Contents Society
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    • v.12 no.2
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    • pp.217-223
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    • 2011
  • AI(Artificial Intelligence) refers to the area of computer engineering and IT technology that focuses on the methodology and creation of intelligent agents. The Othello game is often produced with AI, since it is played with relatively simple rules on a board and on a limited space of 8 rows and 8 columns. Previous algorithms take longer time than desirable and often fail to face new circumstances, as they search for all the possible cases and rules. In order to solve this crucial weakness, we propose that a CBR algorithm be applied to Orthello. Case-Based Reasoning(CBR), is the process of solving new problems based on the solutions of the past similar problems. We can apply this process to Othello and expedite the process of computer reasoning for a solution to new cases based on the data from accumulated past cases. Then, these new solutions are dynamically added to the set of past cases so that it becomes harder for players(users) to be able to read the pattern. The proposed system in which a CBR algorithm is applied to the Othello game makes the computation process faster and the game harder to play.

Improve the Performance of People Detection using Fisher Linear Discriminant Analysis in Surveillance (서베일런스에서 피셔의 선형 판별 분석을 이용한 사람 검출의 성능 향상)

  • Kang, Sung-Kwan;Lee, Jung-Hyun
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.295-302
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    • 2013
  • Many reported methods assume that the people in an image or an image sequence have been identified and localization. People detection is one of very important variable to affect for the system's performance as the basis technology about the detection of other objects and interacting with people and computers, motion recognition. In this paper, we present an efficient linear discriminant for multi-view people detection. Our approaches are based on linear discriminant. We define training data with fisher Linear discriminant to efficient learning method. People detection is considerably difficult because it will be influenced by poses of people and changes in illumination. This idea can solve the multi-view scale and people detection problem quickly and efficiently, which fits for detecting people automatically. In this paper, we extract people using fisher linear discriminant that is hierarchical models invariant pose and background. We estimation the pose in detected people. The purpose of this paper is to classify people and non-people using fisher linear discriminant.

A Study on Safe Electronic Commerce Activation Plan (안전한 전자상거래 활성화 방안에 관한 연구)

  • Park, Sun-Ae;Choi, Seong-Wook;Kim, Bong-Hyun
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.741-744
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    • 2006
  • The e-commerce introduction at the Internet in base accept the renovation dimension from the organised side because of follow of the business in order to the big change. So when I considering the e-commerce introducing the problem easy to originate from the efficiency and expectation without radical preparation. Each commodities over the dimension of Internet information search it is using the various transaction of service as a matter of bank, securities, education, game that many business on the alternation of e-commerce and commerce tool the essentiality. Therefore the transactions at the Internet e-commerce under hold specific gravity and rule in the future with the propection increase the interest concern about the security skill. A study on this paper presentation through the planning method about the analysis on the objective which e-commerce follow the inflection of efficiency strategy and induction the plan on the penetration's revitalization about Internet e-commerce.

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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.

High-Speed Pattern Matching Algorithm using TCAM (TCAM을 이용한 고성능 패턴 매치 알고리즘)

  • Sung Jungsik;Kang Seok-Min;Lee Youngseok;Kwon Taeck-Geun;Kim Bongtae
    • The KIPS Transactions:PartC
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    • v.12C no.4 s.100
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    • pp.503-510
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    • 2005
  • With the increasing importance of network protection from cyber threats, it is requested to develop a multi-gigabit rate pattern matching method for protecting against malicious attacks in high-speed network. This paper devises a high-speed pattern matching algorithm with TCAM by using an m-byte jumping window pattern matching scheme. The proposed algorithm significantly reduces the number of TCAM lookups per payload by m times with the marginally enlarged TCAM size which can be implemented by cascading multiple TCAMs. Due to the reduced number of TCAM lookups, we can easily achieve multi-gigabit rate for scanning the packet payload. It is shown by simulation that for the Snort nile with 2,247 patterns, our proposed algorithm supports more than 10 Gbps rate with a 9Mbit TCAM.

An Effective Detection of Print Image Forgeries Based on Modeling of Color Matrix : An Application to QR Code (컬러 매트릭스 모델링에 의한 영상 인쇄물 위변조 검출 기법 : QR코드에의 적용)

  • Choi, Do-young;Kim, Jin-soo
    • The Journal of the Korea Contents Association
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    • v.18 no.10
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    • pp.431-442
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    • 2018
  • 2-dimensional barcode, QR code has been used for containing various information such as image, video, map, and business cards. Currently, a smartphone is used as a QR code scanner, displaying the code and converting it to a standard URL for a website. However, QR codes are not very common in encrypted application and so have a few applications. This paper proposes a new color-code, which integrates the conventional QR code and color design, and can be effectively used in some product certification system. The proposed method exploits the fact that genuine code is produced by CMYK color model, but the counterfeit is captured by RGB color model and during this process, color information of the code is changed. This paper introduces the color matrix model to measure the distortion between genuine code and counterfeit code. By investigating the statistical characteristics of color matrix, an effective detection of print image forgeries are designed. Various experiments with color codes show that the proposed system can be effectively used in product certification systems.

Approximate Front Face Image Detection Using Facial Feature Points (얼굴 특징점들을 이용한 근사 정면 얼굴 영상 검출)

  • Kim, Su-jin;Jeong, Yong-seok;Oh, Jeong-su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.675-678
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    • 2018
  • Since the face has a unique property to identify human, the face recognition is actively used in a security area and an authentication area such as access control, criminal search, and CCTV. The frontal face image has the most face information. Therefore, it is necessary to acquire the front face image as much as possible for face recognition. In this study, the face region is detected using the Adaboost algorithm using Haar-like feature and tracks it using the mean-shifting algorithm. Then, the feature points of the facial elements such as the eyes and the mouth are extracted from the face region, and the ratio of the two eyes and degree of rotation of the face is calculated using their geographical information, and the approximate front face image is presented in real time.

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