• 제목/요약/키워드: graph structure

검색결과 506건 처리시간 0.023초

ShareSafe: An Improved Version of SecGraph

  • Tang, Kaiyu;Han, Meng;Gu, Qinchen;Zhou, Anni;Beyah, Raheem;Ji, Shouling
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권11호
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    • pp.5731-5754
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    • 2019
  • In this paper, we redesign, implement, and evaluate ShareSafe (Based on SecGraph), an open-source secure graph data sharing/publishing platform. Within ShareSafe, we propose De-anonymization Quantification Module and Recommendation Module. Besides, we model the attackers' background knowledge and evaluate the relation between graph data privacy and the structure of the graph. To the best of our knowledge, ShareSafe is the first platform that enables users to perform data perturbation, utility evaluation, De-A evaluation, and Privacy Quantification. Leveraging ShareSafe, we conduct a more comprehensive and advanced utility and privacy evaluation. The results demonstrate that (1) The risk of privacy leakage of anonymized graph increases with the attackers' background knowledge. (2) For a successful de-anonymization attack, the seed mapping, even relatively small, plays a much more important role than the auxiliary graph. (3) The structure of graph has a fundamental and significant effect on the utility and privacy of the graph. (4) There is no optimal anonymization/de-anonymization algorithm. For different environment, the performance of each algorithm varies from each other.

그래프 감소를 위한 auction 알고리즘에 관한 연구 (A study on auctio algorithms for reduced graph)

  • 김현기;하기종;우경환;류기한;이천희
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1998년도 하계종합학술대회논문집
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    • pp.787-790
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    • 1998
  • In this paper we consider strongly polynomial variations of the auction algorithm for the single origin/all destinations shortest path problem. These variations are based on the idea of graph reduction, that is, deleting unnecessary arcs of the graph by using certain bounds naturally obtained in the course of the algorithm. We study the structure of the reduced graph and we exploit this structure to obtain algorithm with O(n min{m, nlogn}) and O(n$^{2}$) running time.

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철도 네트워크에서 직교 교차선로 표현을 위한 선로그래프의 개선 (Enhancement of Railway Graph for Representing Othogonal Railway Crossing in a Track Network)

  • 조동영
    • 컴퓨터교육학회논문지
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    • 제6권4호
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    • pp.61-69
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    • 2003
  • 선로그래프[6]는 철도 네트워크의 선로배정 문제를 표현하는 자료구조로써 내부선분과 외부선분의 개념을 갖는 연결그래프 구조이다. 선로그래프는 일반 그래프로는 나타낼 수 없는 철도 네트워크의 선로 연결방향을 표현할 수 있지만 여전히 직교 교차선로를 일관되게 표현하지는 못한다. 이 논문에서는 가상선분 개념을 도입해서 선로그래프를 확장함으로써 직교 교차선로를 포함하는 철도 네트워크의 모든 선로연결 구조를 일관되게 표현할 수 있는 방법을 설명하고, 확장된 선로그래프인 ERG(Extended Railway Graph)의 자료구조 표현방법과 경로배정 방법을 제안한다.

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해상교통정보시스템의 정보제공에 대한 구조분석 (Analysis on Structure about Information assistance of VTS)

  • 장운재;금종수
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2007년도 춘계학술발표회
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    • pp.133-139
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    • 2007
  • 본 연구는 해상교통정보시스템의 정보제공에 대한 구조를 퍼지구조모델법을 이용하여 분석하였다. 일반적으로 퍼지구조모델법에서는 임계치와 파라메타의 선정의 어려움으로 인해 시스템의 전체적인 구조를 파악하기가 어려웠다. 따라서 본 연구에서는 계층구조 그래프와 분할도를 이용하여 해상교통정보시스템의 정보제공에 대한 전체적인 구조를 분석할 수 있었다. 또한 몇가지의 예를 통해 모델의 해석과 실제 문제점을 제시하고 분석하였다.

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정보 구조 그래프를 이용한 통합 데이터 품질 관리 방안 연구 (An Implementation of Total Data Quality Management Using an Information Structure Graph)

  • 이춘열
    • Journal of Information Technology Applications and Management
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    • 제10권4호
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    • pp.103-118
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    • 2003
  • This study presents a database quality evaluation framework. As a way to build a framework, this study expands data quality management to include data transformation processes as well as data. Further, an information structure graph is applied to represent data transformations processes. An information structure graph is absed on a relational database scheme. Thus, data transformation processes may be stored in a relational database. This kind of integration of data transformation metadata with technical metadata eases evaluation of database qualities and their causes.

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A STRUCTURE THEOREM AND A CLASSIFICATION OF AN INFINITE LOCALLY FINITE PLANAR GRAPH

  • Jung, Hwan-Ok
    • Journal of applied mathematics & informatics
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    • 제27권3_4호
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    • pp.531-539
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    • 2009
  • In this paper we first present a structure theorem for an infinite locally finite 3-connected VAP-free planar graph, and in connection with this result we study a possible classification of infinite locally finite planar graphs by reducing modulo finiteness.

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A Label Graph Based Verifiable Secret Sharing Scheme for General Access Structures

  • Hsu, Ching-Fang;Zeng, Bing;Cheng, Qi
    • Journal of Communications and Networks
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    • 제15권4호
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    • pp.407-410
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    • 2013
  • Secret sharing is that a dealer distributes a piece of information (called a share) about a secret to each participant such that authorized subsets of participants can reconstruct the secret but unauthorized subsets of participants cannot determine the secret. In this paper, an access structure can be represented by a label graph G, where a vertex denotes a participant and a complete subgraph of G corresponds to a minimal authorized subset. The vertices of G are labeled into distinct vectors uniquely determined by the maximum prohibited structure. Based on such a label graph, a verifiable secret sharing scheme realizing general access structures is proposed. A major advantage of this scheme is that it applies to any access structure, rather than only structures representable as previous graphs, i.e., the access structures of rank two. Furthermore, verifiability of the proposed scheme can resist possible internal attack performed by malicious participants, who want to obtain additional shares or provide a fake share to other participants.

공간구조론을 적용한 종합병원 외래부 유도사인 배치 및 평가에 관한 연구 - G.D.Weisman의 길찾기 요소를 중심으로 (A Study on the Guidance Signage System of Outpatient in General Hospital using Spatial Configuration Theory - View from G.D.Weisman's Way-finding Influence Factors)

  • 김석태;백진경
    • 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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    • 제21권3호
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    • pp.25-35
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    • 2015
  • Purpose: Signs that are installed at unnoticeable places or that disconnect before the destination can bring errors of location information delivery. Therefore, this study aims to find out the spatial relation between structure of space and signs in the perspective of visual exposure possibility, operating arrangement and assesment by applying spatial structure theory. Methods: Effectiveness of organization of guidance signs was evaluated after the four way-finding factors(Plan Configuration, Sign System, Perceptual Access, Architectural Difference) that G.D.Weisman suggested were interpreted by spatial structure theory(J-Graph analysis, Space Syntax, Visual Graph Analysis) under the premise that it is closely related to the structure of space. Results: 1) Because the south corridor that connects each department of outpatient division is located in the hierarchy center of the space, and walking density is expected to be high, guidance signs need to be organized at the place with high integration value. 2) The depth to the destination space can be estimated through J-Graph analysis. The depth means a switch of direction, and the guidance signs are needed according to the number. 3) According to visibility graph analysis, visual exposure can be different in the same hierarchy unit space according to the shape of the flat surface. Based on these data, location adjustment of signs is possible, and the improvement effect can be estimated quantitatively. Implications: Spatial structure theory can be utilized to design and evaluate sign systems, and it helps to clearly understand the improvement effect. It is desirable to specify design and estimation of sign systems in the order of J-Graph analysis${\rightarrow}$Space Syntax Theory${\rightarrow}$visibility graph analysis.

그래프 합성곱-신경망 구조 탐색 : 그래프 합성곱 신경망을 이용한 신경망 구조 탐색 (Graph Convolutional - Network Architecture Search : Network architecture search Using Graph Convolution Neural Networks)

  • 최수연;박종열
    • 문화기술의 융합
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    • 제9권1호
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    • pp.649-654
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    • 2023
  • 본 논문은 그래프 합성곱 신경망을 이용한 신경망 구조 탐색 모델 설계를 제안한다. 딥 러닝은 블랙박스로 학습이 진행되는 특성으로 인해 설계한 모델이 최적화된 성능을 가지는 구조인지 검증하지 못하는 문제점이 존재한다. 신경망 구조 탐색 모델은 모델을 생성하는 순환 신경망과 생성된 네트워크인 합성곱 신경망으로 구성되어있다. 통상의 신경망 구조 탐색 모델은 순환신경망 계열을 사용하지만 우리는 본 논문에서 순환신경망 대신 그래프 합성곱 신경망을 사용하여 합성곱 신경망 모델을 생성하는 GC-NAS를 제안한다. 제안하는 GC-NAS는 Layer Extraction Block을 이용하여 Depth를 탐색하며 Hyper Parameter Prediction Block을 이용하여 Depth 정보를 기반으로 한 spatial, temporal 정보(hyper parameter)를 병렬적으로 탐색합니다. 따라서 Depth 정보를 반영하기 때문에 탐색 영역이 더 넓으며 Depth 정보와 병렬적 탐색을 진행함으로 모델의 탐색 영역의 목적성이 분명하기 때문에 GC-NAS대비 이론적 구조에 있어서 우위에 있다고 판단된다. GC-NAS는 그래프 합성곱 신경망 블록 및 그래프 생성 알고리즘을 통하여 기존 신경망 구조 탐색 모델에서 순환 신경망이 가지는 고차원 시간 축의 문제와 공간적 탐색의 범위 문제를 해결할 것으로 기대한다. 또한 우리는 본 논문이 제안하는 GC-NAS를 통하여 신경망 구조 탐색에 그래프 합성곱 신경망을 적용하는 연구가 활발히 이루어질 수 있는 계기가 될 수 있기를 기대한다.

LAPLACIAN SPECTRA OF GRAPH BUNDLES

  • Kim, Ju-Young
    • 대한수학회논문집
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    • 제11권4호
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    • pp.1159-1174
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    • 1996
  • The spectrum of the Laplacian matrix of a graph gives an information of the structure of the graph. For example, the product of non-zero eigenvalues of the characteristic polynomial of the Laplacian matrix of a graph with n vertices is n times of the number of spanning trees of that graph. The characteristic polynomial of the Laplacian matrix of a graph tells us the number of spanning trees and the connectivity of given graph. in this paper, we compute the characteristic polynomial of the Laplacian matrix of a graph bundle when its voltage lie in an abelian subgroup of the full automorphism group of the fibre; in particular, the automorphism group of the fibre is abelian. Also we study a relation between the characteristic polynomial of the Laplacian matrix of a graph G and that of the Laplacian matrix of a graph bundle over G. Some applications are also discussed.

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