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