ACM Home Page
Please provide us with feedback. Feedback
NVisionIP: netflow visualizations of system state for security situational awareness
Full text PdfPdf (694 KB)
Source Conference on Computer and Communications Security archive
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security table of contents
Washington DC, USA
SESSION: VizSEC state analysis session table of contents
Pages: 65 - 72  
Year of Publication: 2004
ISBN:1-58113-974-8
Authors
Kiran Lakkaraju  University of Illinois at Urbana-Champaign, Champaign, IL
William Yurcik  University of Illinois at Urbana-Champaign, Champaign, IL
Adam J. Lee  University of Illinois at Urbana-Champaign, Champaign, IL
Sponsors
ACM: Association for Computing Machinery
SIGSAC: ACM Special Interest Group on Security, Audit, and Control
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 29,   Downloads (12 Months): 158,   Citation Count: 15
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1029208.1029219
What is a DOI?

ABSTRACT

The number of attacks against large computer systems is currently growing at a rapid pace. Despite the best efforts of security analysts, large organizations are having trouble keeping on top of the current state of their networks. In this paper, we describe a tool called NVisionIP that is designed to increase the security analyst's situational awareness. As humans are inherently visual beings, NVisionIP uses a graphical representation of a class-B network to allow analysts to quickly visualize the current state of their network. We present an overview of NVisionIP along with a discussion of various types of security-related scenarios that it can be used to detect.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Argus -- metrics. Web Page, Mar. 2001. h http://www.qosient.com/argus/metrics.htm i.
 
2
Ratna Bearavolu, Kiran Lakkaraju, William Yurcik, and Hrishikesh Raje. A visualization tool for situational awareness of tactical and strategic security events on large and complex computer networks. In IEEE Military Communications Conference (Milcom), 2003.
 
3
CERT/CC Statistics 1988--2003, Jan. 2004. h http://www.cert.org/stats/i. (Jun. 2004).
 
4
Martin Dodge and Rob Kitchin. Atlas of Cyberspace. Addison Wesley, Harlow, England, 2001.
 
5
Jana Dunn. Security applications for cisco net ow data. Technical report, SANS, Jul. 2001. h http: //www.sans.org/rr/papers/index.php?id=778 i.
 
6
Robert F. Erbacher and Deborah Frincke. Visual behavior characterization for intrusion and misuse detection. In SPIE '2001 Conference on Visual Data Exploration and Analysis VIII, pages 210--218, Jan. 2001.
 
7
Robert F. Erbacher, Kenneth L. Walker, and Deborah A. Frincke. Intrusion and misuse detection in large-scale systems. Computer Graphics and Applications, 22(1):38--48, Jan.--Feb. 2002.
 
8
 
9
NCSA Automated Learning Group. D2K Toolkit User Manual. National Center for Supercomputing Applications, Apr. 2003. h http: //algdocs.ncsa.uiuc.edu/TU-20030425-1.pdf i .
10
11
 
12
Kiran Lakkaraju, Ratna Bearavolu, and William Yurcik. Nvisionip -- a traffic visualization tool for security analysis of large and complex networks. In International Multiconference on Measurement, Modelling, and Evaluation of Computer-Communications Systems Performance TOOLS, 2003.
 
13
Kiran Lakkaraju, William Yurcik, Ratna Bearavolu, and Adam J. Lee. NVisionIP: An Interactive Network Flow Visualization Tool for Security. In IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2004.
14
 
15
 
16
The network simulator -- ns--2. Web Page, May 2004. h http://www.isi.edu/nsnam/ns/ i .
 
17
OPNET Technologies, Inc. Web Page, Jun. 2004. h http://www.opnet.com i .
 
18
Adam G. Pennington, John D. Strunk, John Linwood, Griffin, Craig A.N. Soules, Garth R. Goodson, and Gregory R. Ganger. Storage-based intrusion detection: Watching storage activity for suspicious behavior. In USENIX Security Symposium 2003, 2003. h http: //www.pdl.cmu.edu/PDL-FTP/Secure/usenix03.pdf i .
 
19
 
20
Secure decisions. Web Page, Jun. 2004. h http://www.securedecisions.com/ i .
21
 
22
Security incident fusion toolkit SIFT, Jun.
 
23
CERT Advisory CA-2003-04 MS-SQL Server Worm. Web Page, Jan. 2003. h http: //www.cert.org/advisories/CA-2003-04.html i .
 
24
Snort: The open source network intrusion detection system. Web Page, Jun. 2004. h http://www.snort.org i .
 
25
Security threat manager. Web Page, Jun. 2004. h http://www.open.com/products/threatmanager/ threatmanager.shtml% i .
 
26
 
27
 
28
United States Department of Homeland Security. Team Coordination Training, Student Guide, May 2004. h http://www.cgaux.info/g_ocx/training/tct/ i .
 
29
Xiaoxin Yin, William Yurcik, Yifan Li, Kiran Lakkaraju, and Cristina Abad. Vis owconnect: Providing security situational awareness by visualizing network traffic ows. In Workshop on Information Assurance (WIA04) held in conjunction with the 23rd IEEE International Performance Computing and Communications Conference (IPCCC), 2004.
 
30
William Yurcik, James Barlow, Kiran Lakkaraju, and Mike Haberman. Two visual computer network security monitoring tools incorporating operator interface. In ACM CHI Workshop on Human-Computer Interaction and Security Systems (HCISEC), 2003.
 
31
William Yurcik, Kiran Lakkaraju, James Barlow, and Jeff Rosendale. A prototype tool for visual data mining of network traffic for intrusion detection. In 3rd IEEE International Conference on Data Mining (ICDM) Workshop on Data Mining for Computer Security (DMSEC), 2003.

CITED BY  15
 
 

Collaborative Colleagues:
Kiran Lakkaraju: colleagues
William Yurcik: colleagues
Adam J. Lee: colleagues