Integrated Visualization of Network Security Metadata from Heterogeneous Data Sources

被引:1
|
作者
Ahlers, Volker [1 ]
Heine, Felix [1 ]
Hellmann, Bastian [1 ]
Kleiner, Carsten [1 ]
Renners, Leonard [1 ]
Rossow, Thomas [1 ]
Steuerwald, Ralf [1 ]
机构
[1] Univ Appl Sci & Arts Hannover, Fac 4, Dept Comp Sci, POB 920251, D-30441 Hannover, Germany
关键词
D O I
10.1007/978-3-319-29968-6_2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In computer networks many components produce valuable information about themselves or other participants, especially security analysis relevant information. Although such information is intrinsically related as components are connected by a network, most of them still operate independently and do not share data amongst each other. Furthermore, the highly dynamic nature of a network hampers a profound understanding of security relevant situations, such as attack scenarios. Hence, a comprehensive view of the network including multiple information sources as well as temporal network evolution would significantly improve security analysis and evaluation capabilities. In this paper, we introduce a comprehensive approach for an integrated visualization, covering all aspects from data acquisition in various sources up to visual representation of the integrated information. We analyze the requirements on the basis of an exemplary scenario, propose solutions covering these demands based on the IF-MAP protocol, and introduce our software application VisITMeta as a prototypical implementation. We show how the graph-based IF-MAP protocol provides a graphical model for an integrated view of network security.
引用
收藏
页码:18 / 34
页数:17
相关论文
共 50 条
  • [21] Metadata Based Visualization System for Multidimensional Data
    Peng, Yan
    [J]. PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2017), 2017, 134 : 564 - 567
  • [22] Integrated Data Management A Case Study in Heterogeneous Data Sources in Brazilian Government
    Rodrigues, Sergio Assis
    Alves, Marlon
    Girao, Allan Freitas
    Silva, Ricardo
    Chaves, Miriam
    de Souza, Jano Moreira
    [J]. ICEIS: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 1, 2013, : 316 - 321
  • [23] Integrated Analysis of Seaweed Components during Seasonal Fluctuation by Data Mining Across Heterogeneous Chemical Measurements with Network Visualization
    Ito, Kengo
    Sakata, Kenji
    Date, Yasuhiro
    Kikuchi, Jun
    [J]. ANALYTICAL CHEMISTRY, 2014, 86 (02) : 1098 - 1105
  • [24] Story creation from heterogeneous data sources
    Fayzullin, Marat
    Subrahmanian, V. S.
    Albanese, Massimiliano
    Cesarano, Carmine
    Picariello, Antonio
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2007, 33 (03) : 351 - 377
  • [25] Story creation from heterogeneous data sources
    Marat Fayzullin
    V. S. Subrahmanian
    Massimiliano Albanese
    Carmine Cesarano
    Antonio Picariello
    [J]. Multimedia Tools and Applications, 2007, 33 : 351 - 377
  • [26] Extracting Output Metadata from Scientific Deep Web Data Sources
    Wang, Fan
    Agrawal, Gagan
    [J]. 2009 9TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 2009, : 552 - 561
  • [27] METADATA QUALITY EVALUATION OF SECONDARY DATA SOURCES
    Daas, Piet J. H.
    Ossen, Saskia J. L.
    [J]. INTERNATIONAL JOURNAL FOR QUALITY RESEARCH, 2011, 5 (02) : 57 - 66
  • [28] Using metadata to query passive data sources
    Martin, P
    Powley, P
    Weston, A
    [J]. PROCEEDINGS OF THE THIRTY-FIRST HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, VOL VII: SOFTWARE TECHNOLOGY TRACK, 1998, : 286 - 294
  • [29] Using metadata to query passive data sources
    Martin, P
    Powley, W
    Weston, A
    Zion, P
    [J]. INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS, 2000, 9 (1-2) : 147 - 169
  • [30] Loch Prospector: Metadata Visualization for Lakes of Open Data
    Makhija, Neha
    Jain, Mansi
    Tziavelis, Nikolaos
    Di Rocco, Laura
    Di Bartolomeo, Sara
    Dunne, Cody
    [J]. 2020 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS 2020), 2020, : 126 - 130