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11 - Computer Science and Informatics

Leeds Beckett University

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Output 14 of 33 in the submission

Chapter title

DScentTrail: A New Way of Viewing Deception

Type

C - Chapter in book

DOI

10.1007/978-1-4471-2318-7_24

Publisher of book

Springer

Book title

Research and Development in Intelligent Systems XXVIII

ISBN of book

978-1-4471-2318-7

Year of publication

2011

URL

Number of additional authors

Additional information

<33>

This research output is a version of the paper presented at the following conference: AI-2011 Thirty-first SGAI International Conference on Artificial Intelligence, CAMBRIDGE, ENGLAND 13-15 DECEMBER 2011http://www.informatik.uni-trier.de/~ley/db/conf/sgai/sgai2011.html.

It is an abridged version of atechnical report for an EPSRC funded project (led by Dr. Guest) entitled “D-SCENT: Raising challenges to deception attempts using data scent trails” (Grant No EP/F014112/1, http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/F014112/1).

Complete reference for the technical report is as follows:

Dixon, S., Guest, E., Dixon, M. and Elliott, J., and Mullier, D. (2011) DScent Final Report, A Technical Report. Leeds Metropolitan University (Faculty of Arts, Environment & Technology). ISBN: 978-1-907240-37-9 (URL http://repository.leedsmet.ac.uk/main/view_record.php?identifier=4601&SearchGroup=research

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract