DocumentCode :
665687
Title :
Tools for understanding identity
Author :
Creese, Sadie ; Gibson-Robinson, Thomas ; Goldsmith, Michael ; Hodges, D.A. ; Dee Kim ; Love, Oriana ; Nurse, Jason R. C. ; Pike, Bill ; Scholtz, J.
Author_Institution :
Dept. of Comput. Sci., Univ. of Oxford, Oxford, UK
fYear :
2013
fDate :
12-14 Nov. 2013
Firstpage :
558
Lastpage :
563
Abstract :
We present two tools for analysing identity in support of homeland security. Both are based upon the Superi-dentity model that brings together cyber and physical spaces into a single understanding of identity. Between them, the tools provide support for defensive, information gathering and capability planning operations. The first tool allows an analyst to explore and understand the model, and to apply it to risk-exposure assessment activities for a particular individual, e.g. an influential person in the intelligence or government community, or a commercial company board member. It can also be used to understand critical capabilities in an organization´s identity-attribution process, and so used to plan resource investment. The second tool, referred to as Identity Map, is designed to support investigations requiring enrichment of identities and the making of attributions. Both are currently working prototypes.
Keywords :
data visualisation; government data processing; inference mechanisms; capability planning operations; commercial company board member; defensive operations; government community; homeland security; identity map; identity understanding; identity-attribution process; information gathering operations; intelligence community; risk-exposure assessment; superidentity model; Accuracy; Analytical models; Biological system modeling; Communities; Electronic mail; Organizations; Psychology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies for Homeland Security (HST), 2013 IEEE International Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4799-3963-3
Type :
conf
DOI :
10.1109/THS.2013.6699064
Filename :
6699064
Link To Document :
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