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IDSPlanet: A Novel Radial Visualization of Intrusion Detection Alerts

Published: 24 September 2016 Publication History

Abstract

In this article, we present a novel radial visualization of IDS alerts, named IDSPlanet, which helps administrators identify false positives, analyze attack patterns, and understand evolving network conditions. Inspired by celestial bodies, IDSPlanet is composed of Chrono Rings, Alert Continents, and Interactive Core. These components correspond with temporal features of alert types, patterns of behavior in affected hosts, and correlations amongst alert types, attackers and targets. The visualization provides an informative picture for the status of the network. In addition, IDSPlanet offers different interactions and monitoring modes, which allow users to interact with high-interest individuals in detail as well as to explore overall pattern.

References

[1]
K. Abdullah, C. Lee, G. Conti, J. A. Copeland, and J. Stasko. Ids rainstorm: Visualizing ids alarms. 2005.
[2]
E. Bertini, P. Hertzog, and D. Lalanne. Spiralview: towards security policies assessment through visual correlation of network resources with evolution of alarms. In Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on, pages 139--146. IEEE, 2007.
[3]
G. M. Draper, Y. Livnat, and R. F. Riesenfeld. A survey of radial methods for information visualization. Visualization and Computer Graphics, IEEE Transactions on, 15(5):759--776, 2009.
[4]
M. Dumas, J.-M. Robert, and M. J. McGuffin. Alertwheel: radial bipartite graph visualization applied to intrusion detection system alerts. Network, IEEE, 26(6):12--18, 2012.
[5]
R. F. Erbacher, K. Christensen, and A. Sundberg. Designing visualization capabilities for ids challenges. In Visualization for Computer Security, 2005. (VizSEC 05). IEEE Workshop on, pages 121--127. IEEE, 2005.
[6]
C.-Y. Ho, Y.-D. Lin, Y.-C. Lai, I.-W. Chen, F.-Y. Wang, and W.-H. Tai. False positives and negatives from real traffic with intrusion detection/prevention systems. International Journal of Future Computer and Communication, 1(2):87, 2012.
[7]
D. Keim, F. Mansmann, J. Schneidewind, T. Schreck, et al. Monitoring network traffic with radial traffic analyzer. In Visual Analytics Science And Technology, 2006 IEEE Symposium On, pages 123--128. IEEE, 2006.
[8]
H. Koike and K. Ohno. Snortview: visualization system of snort logs. In Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security, pages 143--147. ACM, 2004.
[9]
Y. Livnat, J. Agutter, S. Moon, R. F. Erbacher, and S. Foresti. A visualization paradigm for network intrusion detection. In Information Assurance Workshop, 2005. IAW'05. Proceedings from the Sixth Annual IEEE SMC, pages 92--99. IEEE, 2005.
[10]
H. Shiravi, A. Shiravi, A. Ghorbani, et al. A survey of visualization systems for network security. Visualization and Computer Graphics, IEEE Transactions on, 18(8):1313--1329, 2012.
[11]
H. Shiravi, A. Shiravi, and A. A. Ghorbani. Ids alert visualization and monitoring through heuristic host selection. In Information and Communications Security, pages 445--458. Springer, 2010.
[12]
Y. Zhao, F. Zhou, X. Fan, X. Liang, and Y. Liu. Idsradar: a real-time visualization framework for ids alerts. Science China Information Sciences, 56(8):1--12, 2013.
[13]
F. Zhou, R. Shi, Y. Zhao, Y. Huang, and X. Liang. Netsecradar: A visualization system for network security situational awareness. In Cyberspace Safety and Security, pages 403--416. Springer, 2013.

Cited By

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  • (2020)Hyperion: A Visual Analytics Tool for an Intrusion Detection and Prevention SystemIEEE Access10.1109/ACCESS.2020.30107898(133865-133881)Online publication date: 2020

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cover image ACM Other conferences
VINCI '16: Proceedings of the 9th International Symposium on Visual Information Communication and Interaction
September 2016
173 pages
ISBN:9781450341493
DOI:10.1145/2968220
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2016

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Author Tags

  1. Cyber security
  2. IDS
  3. Visualization

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  • Short-paper
  • Research
  • Refereed limited

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VINCI '16

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VINCI '16 Paper Acceptance Rate 14 of 42 submissions, 33%;
Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

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  • (2020)Hyperion: A Visual Analytics Tool for an Intrusion Detection and Prevention SystemIEEE Access10.1109/ACCESS.2020.30107898(133865-133881)Online publication date: 2020

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