Ideas on authenticating humanness in collaborative systems using AI-hard problems in perception and cognition

McIntire, John P.; Havig, Paul R.; McIntire, Lindsey K.; Jackson, Henry

doi:10.1109/naecon.2009.5426651

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…to detect bots. In previous works, we discuss several potential CAPTCHA ideas that might be useful for detecting bots [3,4]. However, CAPTCHAs seem to lose their general effectiveness over time, probably due to human assistance being provided to the bots.…”

Section: Introductionmentioning

confidence: 99%

Methods for chatbot detection in distributed text-based communications

McIntire

McIntire²,

Havig

2010

2010 International Symposium on Collaborative Technologies and Systems

Self Cite

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Distributed text-based communications (e.g., chat, instant-messaging) are facing the growing problem of malicious "chatbots" or "chatterbots" (automated communication programs posing as humans) attempting social engineering, gathering intelligence, mounting phishing attacks, spreading malware and spam, and threatening the usability and security of collaborative communication platforms. We provide supporting evidence for the suggestion that gross communication and behavioral patterns (e.g., message size, inter-message delays) can be used to passively distinguish between humans and chatbots. Further, we discuss several potential interrogation strategies for users and chat room administrators who may need to actively distinguish between a human and a chatbot, quickly and reliably, during distributed communication sessions. Interestingly, these issues are in many ways analogous to the identification problem faced by interrogators in a Turing Test, and the proposed methods and strategies might find application to and inspiration from this topic as well.

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Section: Introductionmentioning

confidence: 99%

Methods for chatbot detection in distributed text-based communications

McIntire

McIntire²,

Havig

2010

2010 International Symposium on Collaborative Technologies and Systems

Self Cite

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“…Usability is an important issue of CAPTCHA due to the variety in the backgrounds of users, such as difference in age, culture, and language. Therefore, designing a CAPTCHA system has to consider two factors: visual perception and cognitive judgments [4]. How to examine the usability of CAPTCHA is an important issue.…”

Section: Page Layoutmentioning

confidence: 99%

An Image-Based Captcha System Using Click

Ridzuan¹,

Mahdin²,

Kasim³

et al. 2019

Acta electron. Malays.

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CAPTCHA stand for "Completely Automated Public Turing test to tell Computers and Humans Apart". It is a technique of testing where only human can solve it and computer-generated system (bots) could not get through it. In this paper, a new type CAPTCHA system is proposed. The proposed scheme named ClickShape, developed by using a technique based on image-based CAPTCHA. ClickShape will ask user to click on the shape displayed by the system. It is quite similar to image-based CAPTCHA where user have to choose any specific image, for example image of a signboard. As for this captcha image of a shape is easier to be recognize by human. This type of CAPTCHA had developed by using HTML, JavaScript, PHP and Cascading Style Sheets (CSS).

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“…A somewhat general definition of the term included in the 1991 Jargon File [53] As such, the term "AI-complete" (or sometimes AI-hard) has been a part of the field for many years [54] and has been frequently brought up to express difficulty of a specific problem investigated by researchers (see [55][56][57][58][59][60][61][62][63][64][65][66][67][68]).…”

Section: Ai-completenessmentioning

confidence: 99%

AI-Complete CAPTCHAs as Zero Knowledge Proofs of Access to an Artificially Intelligent System

Yampolskiy

2012

ISRN Artificial Intelligence

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Experts predict that in the next 10 to 100 years scientists will succeed in creating human-level artificial general intelligence. While it is most likely that this task will be accomplished by a government agency or a large corporation, the possibility remains that it will be done by a single inventor or a small team of researchers. In this paper, we address the question of safeguarding a discovery which could without hesitation be said to be worth trillions of dollars. Specifically, we propose a method based on the combination of zero knowledge proofs and provably AI-complete CAPTCHA problems to show that a superintelligent system has been constructed without having to reveal the system itself.

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Ideas on authenticating humanness in collaborative systems using AI-hard problems in perception and cognition

Cited by 4 publications

References 13 publications

Methods for chatbot detection in distributed text-based communications

Methods for chatbot detection in distributed text-based communications

An Image-Based Captcha System Using Click

AI-Complete CAPTCHAs as Zero Knowledge Proofs of Access to an Artificially Intelligent System

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