By Topic

Normalizing Discrete Circuit Features with Statistically Independent values for incorporation within a highly Secure Encryption System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)

Protecting hardware devices from unwanted software attacks is a current area of major security concern. Coupled with the need to secure and verify data sent to and from such devices, the need to supply systems capable of uniquely identifying and securing hardware devices is considerable and imminent. This paper introduces techniques which possess the potential to generate unique identifying codes for given hardware devices based on measurable quantities or features associated with the given hardware and software configurations executing upon it. The techniques are investigated by considering abstract properties in order to validate primarily the feature normalization techniques employed prior to the code generation phase which allows features with highly variable distributions, and whose component values are independent of each other, to be employed within the code generation system.

Published in:

Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on

Date of Conference:

5-8 Aug. 2007