Crucial nodes centric visual monitoring and analysis of computer networks

Proceedings of the 2012 ASE International Conference on Cyber Security, CyberSecurity 2012

Volumn , Issue , 2012, Pages 16-23

  Song, Hanchen ^a   Muelder, Chris W ^b   Ma, Kwan Liu ^b  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

crucial node; Network events monitoring; network visualization; security visualization

Indexed keywords

DATA VISUALIZATION; MONITORING; UNCERTAINTY ANALYSIS; VISUALIZATION;

CRUCIAL NODE; INTERACTIVE ANALYSIS; INTERACTIVE VISUALIZATION SYSTEMS; MONITORING AND ANALYSIS; NETWORK VISUALIZATION; RADIAL VISUALIZATION; SECURITY VISUALIZATION; TECHNIQUES AND TOOLS;

NETWORK SECURITY;

EID: 84881081209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CyberSecurity.2012.9     Document Type: Conference Paper

References (27)

1. S. Axelsson. Visualizing intrusions: Watching the web server. In the 19th International Information Security Conference, pages 59-78, 2004.
2. M. A. Aydin, A. H. Zaim, and K. Gkhan Ceylan. A hybrid intrusion detection system design for computer network security. Computers and Electrical Engineering, 35(1):517-526, 2009.
3. A. Boschetti, C. Muelder, L. Salgarelli, and K.-L. Ma. TVi: A visual querying system for network monitoring and anomaly detection. In International Symposium on Visualization for Cyber Security, 2011.
4. L. Braun, A. Didebulidze, N. Kammenhuber, and G. Carle. Comparing and improving current packet capturing solutions based on commodity hardware. In Annual Conference on Internet Measurement, 2010.
5. R. E. K. Christensen and Sundberg. Designing visualization capablities for IDS challenges. In International Workshop on Visualization for Cyber Security, 2005.
6. S. Diehl, F. Beck, and M. Burch. Uncovering strengths and weaknesses of radial visualizations-an empirical approach. IEEE Transactions on Visualization and Computer Graphics, 16(6):935-942, 2010.
7. R. F. Erbacher, Z. Teng, and S. Pandit. Multi-node monitoring and intrusion detection. In International Conference on Visualization, Imaging and Image Processing, pages 720-725, 2002.
8. F. Fischer, F. Mansmann, D. A. Keim, S. Pietzko, and M. Waldvogel. Large-scale network monitoring for visual analysis of attacks. In the 5th International Workshop on Visualization for Computer Security, page 111, 2008.
9. M. Graham and J. Kennedy. Using curves to enhance parallel coordinate visualisations. In Information Visualization, 2003. IV 2003. Proceedings. Seventh International Conference on, pages 10 - 16, july 2003.
10. R. R. Kasemsri. A survey, taxonomy, and analysis of network security visualization. Master's thesis, Georgia State University, 2006.
11. C. Kintzel, J. Fuchs, and F. Mansmann. Monitoring large ip spaces with clockview. In International Symposium on Visualization for Cyber Security, 2011.
12. P. Z. Kolano. A scalable aural-visual environment for security event monitoring, analysis and response. In International conference on Advances in visual computing, pages 564-575, 2007.
13. S. Krasser, G. Conti, J. Grizzard, J. Gribschaw, and H. Owen. Realtime and forensic network data analysis using animated and coordinated visualization. In IEEE Workshop on Information Assurance and Security, pages 42-49, 2005.
14. C. Lee, J. Trost, N. Gibbs, R. Beyah, and J. Copeland. Visual firewall: Real-time network security monitor. In IEEE Workshop visualizaiton for computer security, 2005.
15. F. Mansmann, L. Meier, and D. A. Keim. Visualization of host behavior for network security. In International Workshop on Visualization for Cyber Security, 2008.
16. R. Marty. Applied Security Visualization, chapter 5, pages 161-237. Addison-Wesley Professional, 2008.
17. J. McPherson, K.-L. Ma, P. Krystosk, T. Bartoletti, and M. Christensen. PortVis: a tool for port-based detection of security events. In ACM workshop on Visualization and data mining for computer security, pages 73-81, 2004.
18. C. Muelder, K.-L. Ma, and T. Bartoletti. A visualization methodology for characterization of network scans. In Workshop on Visualization for Computer Security, 2004.
19. A. Papadogiannakis, G. Vasiliadis, D. Antoniades, M. Polychronakis, and E. P. Markatos. Improving the performance of passive network monitoring applications with memory locality enhancements. Computer Communications, 34:1-15, 2011.
20. H. Shiravi, A. Shiravi, and A. A. Ghorbani. A survey of visualization system for network security. IEEE Transactions on Visualization and Computer Graphics, 18:1-10, 2012.
21. T. Takada and H. Koike. MieLog: A highly interactive visual log browser using information visualization and statistical analysis. In Systems Administration Conference, pages 133-144, 2002.
22. R. Tamassia, B. Palazzi, and C. Papamanthou. Graph drawing for security visualization. In Symposium on Graph Drawing, pages 2-13, 2009.
23. C.-F. Tsai, Y.-F. Hsu, C.-Y. Lin, and W.-Y. Lin. Intrusion detection by machine learning: A review. Expert Systems with Applications, 36:11995-12000, 2009.
24. VisWeek. Ieee vast challenge 2011 submission. http://hcil.cs.umd.edu/ localphp/hcil/vast11/index.php/submissions/index.
25. VisWeek. Ieee vast challenge 2011data set. http://hcil.cs.umd.edu/ localphp/hcil/vast11/index.php.
26. W. Wang, X. Zhang, W. shi, S. Lian, and D. Feng. Network traffic monitoring, analysis and anomaly detection. IEEE Network, 25(3):6-7, 2011.
27. A. Yelizarov and D. Gamayunov. Visualization of complex attacks and state of attacked network. In International Workshop on Visualization for Cyber Security, 2009.