A nature-inspired camouflaging approach to protect nuclear secrets
by Suman Rao
International Journal of Nuclear Knowledge Management (IJNKM), Vol. 5, No. 2, 2011

Abstract: Nuclear weapons laboratories face a frequent challenge when they have to grant access to classified information (secrets) on a need-to-know (NTK) basis. Currently such access decisions are subjective – leading to risks of releasing classified information to non-deserving information-seekers. This paper suggests a nature-inspired simulation model 'Discerning Nuclear Intentions (DiNI)–NTK' based on the phenomenon of camouflaging (mimicry) in order to lend objectivity to NTK decision-making. The model uses a combination of information vulnerability and characteristics – factors that help assess possible 'camouflaging' intentions of the information-seeker and then accordingly make an informed NTK decision. Based on a live indictment of a nuclear physicist and his wife who were formerly employed in a nuclear weapons laboratory, DiNI–NTK is tested with estimated parameter values and the output of the model has provided the correct non-disclosure decision. This model can be used to inform NTK-based classified information access decisions in an objective manner.

Online publication date: Wed, 18-Feb-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Nuclear Knowledge Management (IJNKM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com