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Real-time multi-class threat detection and adaptive deception in Kubernetes environments. [PDF]
Aly A, Hamad AM, Al-Qutt M, Fayez M.
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Psychopathy and deception detection
Personality and Mental Health, 2012ABSTRACTResearchers have found that most people have difficulty detecting deception; however, certain individuals are able to consistently detect deception above the level of chance. This study examined whether psychopathic traits are related to deception detection.
Krystle, Martin, Amy-May, Leach
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Detecting deception in testimony
2008 IEEE International Conference on Intelligence and Security Informatics, 2008Several models for deception in text, based on changes in usage frequency of certain classes of words, have been proposed. These are empirically derived from settings in which individuals are asked to lie or be truthful in freeform text. We consider the problem of detecting deception in testimony, where the content generated must necessarily be ...
Ayron Little, David B. Skillicorn
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Modality Effects in Deception Detection and Applications in Automatic-Deception-Detection
Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 2005Modality is an important context factor in deception, which is context-dependent. In order to build a reliable and flexible tool for automatic-deception-detection (ADD), we investigated the characteristics of verbal cues to deceptive behavior in three modalities: text, audio and face-to-face communication. Seven categories of verbal cues (21 cues) were
Tiantian Qin +3 more
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Neurologic Clinics, 1995
In clinical situations patient honesty and self-interest usually coincide; however, in legal circumstances patients may be motivated to deceive and may be skilled in doing so. Research raises doubts about the capacity of health professionals to detect malingering, particularly when there is less known about conditions or expected symptom patterns, more
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In clinical situations patient honesty and self-interest usually coincide; however, in legal circumstances patients may be motivated to deceive and may be skilled in doing so. Research raises doubts about the capacity of health professionals to detect malingering, particularly when there is less known about conditions or expected symptom patterns, more
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Deception detection for the tangled web
ACM SIGCAS Computers and Society, 2012Deception is a reasonably common part of daily life that society sometimes demonstrates a degree of acceptance of, and occasionally people are very willing to be deceived. But can a computer identify deception and distinguish it from that which is not deceptive?
Gillam, L, Vartapetiance, A
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The Impact of Culture in Deception and Deception Detection
2021This chapter examines the role of culture in deception. It opens by explaining how culture has been measured in the research literature, along with the consequences and critiques of those measurement strategies. Next, it explores how culture has been studied previously in the context of deception and addresses variations in those analyses such as ...
Matt Giles +3 more
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Behavioral and Brain Sciences, 1997
I find three major shortcomings in Mele's account. First, verbal ambiguities suggest that the analysis is irrelevant to self-deception and/or that the traditional conception is subtly reinstated. Second, the data offer no means of establishing the superiority of the present account. Finally, as political rhetoric, Mele's proposal not only operates
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I find three major shortcomings in Mele's account. First, verbal ambiguities suggest that the analysis is irrelevant to self-deception and/or that the traditional conception is subtly reinstated. Second, the data offer no means of establishing the superiority of the present account. Finally, as political rhetoric, Mele's proposal not only operates
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Detecting deception in reputation management
Proceedings of the second international joint conference on Autonomous agents and multiagent systems, 2003We previously developed a social mechanism for distributed reputation management, in which an agent combines testimonies from several witnesses to determine its ratings of another agent. However, that approach does not fully protect against spurious ratings generated by malicious agents.
Bin Yu 0006, Munindar P. Singh
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