Detecting Online Deception and Responding to It
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Authors
Rowe, Neil C.
Subjects
bandwidth
cognitive
cue
data fusion
fraud
intrusion-detection system
IP address
killfile
polygraph
signature, electronic
cognitive
cue
data fusion
fraud
intrusion-detection system
IP address
killfile
polygraph
signature, electronic
Advisors
Date of Issue
2005
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
Since many forms of online deception are harmful, it is helpful to enumerate possible detection methods. We
discuss low-levels clues such as pauses and overgenerality as well as ?cognitive? clues such as noticing of
factual discrepancies. While people are generally poor at detecting deception using their intuitions, the
online environment provides the ability to automate the analysis of clues and improve the likelihood of
detection by doing ?data fusion?. Appropriate responses to deception must differ with the type, as some
deceptions like deliberate provocation are best handled by ignoring them while other deceptions like fraud
are best handled by exposure.
Type
Conference Paper
Description
This article appeared in the Encyclopedia of Virtual Communities and Technologies, Hershey, PA: Idea
Group, 2005.
Series/Report No
Department
Organization
Identifiers
NPS Report Number
Sponsors
supported by the National Science Foundation under the Cyber Trust program
Funder
Format
Citation
Encyclopedia of Virtual Communities and Technologies, Hershey, PA: Idea
Group, 2005.
Distribution Statement
Approved for public release; distribution is unlimited.