Publication:
Conditional Entropy for Deception Analysis, 13th ICCRTS: C2 for Complex Endeavors

dc.contributor.authorCusty, John
dc.contributor.authorRowe, Neil C.
dc.contributor.departmentComputer Science (CS)
dc.dateJune 2008
dc.date.accessioned2013-10-16T16:35:46Z
dc.date.available2013-10-16T16:35:46Z
dc.date.issued2008-06
dc.description13th International Command and Control Research and Technology Symposium (ICCRTS), June 17-19, 2008, Seattle, WA.en_US
dc.descriptionInternational Command and Control Research and Technology Symposium, Bellevue, WA, June 2008.en_US
dc.description.abstractThis paper describes how basic concepts from information theory can be used to analyze deception. We show how a general definition of deception can be mapped to a simple communication model known as a Z-channel, and we show that any deception has associated with it a closely related deception we call it’s symmetric complement. These ideas allow computation of a specific form of conditional entropy which indicates the average uncertainty, in bits, that a deception imposes on a deception target. This uncertainty provides unique and general insight into a deceptions performance, and also indicates the general counter-deception potential available to a deception target. We then describe two deception-based mechanisms for computer security: the fake honeypot serves to inoculate a computer against intrusions; and the spoofing channel provides a safe and effective means for responding to in-progress computer intrusions. The spoofing channel is of fundamental interest because it is a deception equal to its symmetric complement.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.identifier.citationInternational Command and Control Research and Technology Symposium, Bellevue, WA, June 2008.
dc.identifier.urihttps://hdl.handle.net/10945/36946
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleConditional Entropy for Deception Analysis, 13th ICCRTS: C2 for Complex Endeavorsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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