DocumentCode :
1708313
Title :
Ideas on authenticating humanness in collaborative systems using AI-hard problems in perception and cognition
Author :
McIntire, John P. ; Havig, Paul R. ; McIntire, Lindsey K
Author_Institution :
RHCV, Air Force Res. Lab., Wright-Patterson AFB, OH, USA
fYear :
2009
Firstpage :
50
Lastpage :
55
Abstract :
Collaborative applications including email, chat, file-sharing networks, blogs, and gaming are under constant threat of automated programs that are gaining access to, attacking, degrading, or otherwise disrupting the intended communications and interactions. Thus, an important issue in collaborative systems security is how to verify that a user is a human, and not a computer attempting to access the system for malicious purposes. We propose and discuss several AI-hard examples from perception and cognition that may be useful for distinguishing between human-level intelligence and artificial intelligence.
Keywords :
artificial intelligence; cognition; groupware; security of data; AI-hard problems; artificial intelligence; cognition; collaborative system security; human-level intelligence; humanness authentication; perception; Artificial intelligence; Automatic testing; Cognition; Collaboration; Computer security; Databases; Humans; Military computing; Optical distortion; Protection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace & Electronics Conference (NAECON), Proceedings of the IEEE 2009 National
Conference_Location :
Dayton, OH
Print_ISBN :
978-1-4244-4494-6
Electronic_ISBN :
978-1-4244-4495-3
Type :
conf
DOI :
10.1109/NAECON.2009.5426651
Filename :
5426651
Link To Document :
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