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Lookup NU author(s): Dr Jeff Yan
The Automated Turing test (ATT) is almost a standard security technique for addressing the threat of undesirable or malicious bot programs. In this paper, we motivate an interesting adversary model, cyborgs, which are either humans assisted by bots or bots assisted by humans. Since there is always a human behind these bots, or a human can always be available on demand, ATT fails to differentiate such cyborgs from humans. The notion of telling humans and cyborgs apart is novel, and it can be of practical relevance in network security. Although it is a challenging task, we have had some success in telling cyborgs and humans apart automatically.
Author(s): Yan J
Publication type: Report
Publication status: Published
Series Title: School of Computing Science Technical Report Series
Year: 2006
Pages: 9
Print publication date: 01/06/2006
Source Publication Date: June 2006
Report Number: 970
Institution: School of Computing Science, University of Newcastle upon Tyne
Place Published: Newcastle upon Tyne
URL: http://www.cs.ncl.ac.uk/publications/trs/papers/970.pdf
