Advanced visualizations for network security

Nunnally, Troy J.

Title:

Advanced visualizations for network security

dc.contributor.advisor	Beyah, Raheem A.
dc.contributor.author	Nunnally, Troy J.
dc.contributor.committeeMember	Copeland, John
dc.contributor.committeeMember	Owen, Henry
dc.contributor.committeeMember	Chang, Yusun
dc.contributor.committeeMember	Stasko, John
dc.contributor.department	Electrical and Computer Engineering
dc.date.accessioned	2015-01-12T20:43:59Z
dc.date.available	2015-01-12T20:43:59Z
dc.date.created	2014-12
dc.date.issued	2014-08-20
dc.date.submitted	December 2014
dc.date.updated	2015-01-12T20:43:59Z
dc.description.abstract	Monitoring volumes of malicious network data for across multiple sources can potentially be overwhelming. As a result, vital data is at a greater risk of being overlooked and the time span for analyzing it could be too lengthy. One way to address this issue is to employ network security visualization techniques to evaluate security risks and identify malicious activity to help mitigate compromised nodes on a network. The purpose of this thesis is to introduce a visualization framework to help reduce task-completion time, enhance situational awareness, and decrease user error of complex visualizations for network security applications. From the developed framework, three techniques are suggested as contributions using visualization and interaction: (1) Stereoscopic visualization technique aims to increase user awareness of vulnerabilities and malicious attacks, (2) the recommender system aims to ensure efficient navigation in complex 3D environments, and (3) an interaction system aims to assist in usability of visualization environments using Natural User Interfaces (NUIs). To investigate the aforementioned techniques, the following tools were created: 3D Stereoscopic Vulnerability Assessment Tool (3DSVAT), Parallel 3D Coordinate Visualization (P3D), NAVSEC recommender system, and Interaction System for Network Security (InterSec).
dc.description.degree	Ph.D.
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/1853/52993
dc.language.iso	en_US
dc.publisher	Georgia Institute of Technology
dc.subject	Natural user interface
dc.subject	Human computer interaction
dc.subject	Security visualization
dc.subject	3D visualization
dc.subject	Vulnerability assessment
dc.subject	Stereoscopic visualization
dc.subject	Network security
dc.title	Advanced visualizations for network security
dc.type	Text
dc.type.genre	Dissertation
dspace.entity.type	Publication
local.contributor.advisor	Beyah, Raheem A.
local.contributor.corporatename	School of Electrical and Computer Engineering
local.contributor.corporatename	College of Engineering
relation.isAdvisorOfPublication	88360599-cf62-474a-81dd-961af8abbb9b
relation.isOrgUnitOfPublication	5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication	7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level	Doctoral