Security visualization: Cyber security storm map and event correlation

Denise Ferebee; Dipankar Dasgupta; Michael Schmidt; Qishi Wu

doi:10.1109/CICYBS.2011.5949412

Security visualization: Cyber security storm map and event correlation

Denise Ferebee, Dipankar Dasgupta, Michael Schmidt, Qishi Wu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Efficient visualization of cyber incidents is the key in securing increasingly complex information infrastructure. Extrapolating security-related information from data from multiple sources can be a daunting task for organizations to maintain safe and secure operating environment. However, meaningful visualizations can significantly improve decision-making quality and help security administrators in taking rapid response. The purpose of this work is to explore this possibility by building on previously gained knowledge and understanding of weather maps used in meteorology, assessing the gaps, and applying various techniques and matrices to quantify the impacts of cyber incidences in an efficient way.

Original language	English (US)
Title of host publication	IEEE SSCI 2011
Subtitle of host publication	Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security
Pages	171-178
Number of pages	8
DOIs	https://doi.org/10.1109/CICYBS.2011.5949412
State	Published - 2011
Externally published	Yes
Event	Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Computational Intelligence in Cyber Security, CICS 2011 - Paris, France Duration: Apr 11 2011 → Apr 15 2011

Publication series

Name	IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security

Other

Other	Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Computational Intelligence in Cyber Security, CICS 2011
Country/Territory	France
City	Paris
Period	4/11/11 → 4/15/11

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications

Keywords

cyber security
event correlation
information visualization
random matrix theory

Access to Document

10.1109/CICYBS.2011.5949412

Cite this

Ferebee, D., Dasgupta, D., Schmidt, M., & Wu, Q. (2011). Security visualization: Cyber security storm map and event correlation. In IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security (pp. 171-178). Article 5949412 (IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security). https://doi.org/10.1109/CICYBS.2011.5949412

Ferebee, Denise ; Dasgupta, Dipankar ; Schmidt, Michael et al. / Security visualization : Cyber security storm map and event correlation. IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security. 2011. pp. 171-178 (IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security).

@inproceedings{b856e18203164862a519928fe0e42f68,

title = "Security visualization: Cyber security storm map and event correlation",

abstract = "Efficient visualization of cyber incidents is the key in securing increasingly complex information infrastructure. Extrapolating security-related information from data from multiple sources can be a daunting task for organizations to maintain safe and secure operating environment. However, meaningful visualizations can significantly improve decision-making quality and help security administrators in taking rapid response. The purpose of this work is to explore this possibility by building on previously gained knowledge and understanding of weather maps used in meteorology, assessing the gaps, and applying various techniques and matrices to quantify the impacts of cyber incidences in an efficient way.",

keywords = "cyber security, event correlation, information visualization, random matrix theory",

author = "Denise Ferebee and Dipankar Dasgupta and Michael Schmidt and Qishi Wu",

year = "2011",

doi = "10.1109/CICYBS.2011.5949412",

language = "English (US)",

isbn = "9781424499069",

series = "IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security",

pages = "171--178",

booktitle = "IEEE SSCI 2011",

note = "Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Computational Intelligence in Cyber Security, CICS 2011 ; Conference date: 11-04-2011 Through 15-04-2011",

}

Ferebee, D, Dasgupta, D, Schmidt, M & Wu, Q 2011, Security visualization: Cyber security storm map and event correlation. in IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security., 5949412, IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security, pp. 171-178, Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Computational Intelligence in Cyber Security, CICS 2011, Paris, France, 4/11/11. https://doi.org/10.1109/CICYBS.2011.5949412

Security visualization: Cyber security storm map and event correlation. / Ferebee, Denise; Dasgupta, Dipankar; Schmidt, Michael et al.
IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security. 2011. p. 171-178 5949412 (IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Security visualization

T2 - Symposium Series on Computational Intelligence, IEEE SSCI2011 - 2011 IEEE Symposium on Computational Intelligence in Cyber Security, CICS 2011

AU - Ferebee, Denise

AU - Dasgupta, Dipankar

AU - Schmidt, Michael

AU - Wu, Qishi

PY - 2011

Y1 - 2011

N2 - Efficient visualization of cyber incidents is the key in securing increasingly complex information infrastructure. Extrapolating security-related information from data from multiple sources can be a daunting task for organizations to maintain safe and secure operating environment. However, meaningful visualizations can significantly improve decision-making quality and help security administrators in taking rapid response. The purpose of this work is to explore this possibility by building on previously gained knowledge and understanding of weather maps used in meteorology, assessing the gaps, and applying various techniques and matrices to quantify the impacts of cyber incidences in an efficient way.

AB - Efficient visualization of cyber incidents is the key in securing increasingly complex information infrastructure. Extrapolating security-related information from data from multiple sources can be a daunting task for organizations to maintain safe and secure operating environment. However, meaningful visualizations can significantly improve decision-making quality and help security administrators in taking rapid response. The purpose of this work is to explore this possibility by building on previously gained knowledge and understanding of weather maps used in meteorology, assessing the gaps, and applying various techniques and matrices to quantify the impacts of cyber incidences in an efficient way.

KW - cyber security

KW - event correlation

KW - information visualization

KW - random matrix theory

UR - http://www.scopus.com/inward/record.url?scp=79961174321&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79961174321&partnerID=8YFLogxK

U2 - 10.1109/CICYBS.2011.5949412

DO - 10.1109/CICYBS.2011.5949412

M3 - Conference contribution

AN - SCOPUS:79961174321

SN - 9781424499069

T3 - IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security

SP - 171

EP - 178

BT - IEEE SSCI 2011

Y2 - 11 April 2011 through 15 April 2011

ER -

Ferebee D, Dasgupta D, Schmidt M, Wu Q. Security visualization: Cyber security storm map and event correlation. In IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security. 2011. p. 171-178. 5949412. (IEEE SSCI 2011: Symposium Series on Computational Intelligence - CICS 2011: 2011 IEEE Symposium on Computational Intelligence in Cyber Security). doi: 10.1109/CICYBS.2011.5949412

Security visualization: Cyber security storm map and event correlation

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this