Detecting collusion attacks in security protocols Chen, Qingfeng, Chen, Yi-Ping Phoebe, Zhang, Shichao and Zhang, Chengqi 2006, Detecting collusion attacks in security protocols, Lecture notes in computer science, vol. 3841, pp. 297-306, doi: 10.1007/11610113_27. Attached Files Name Description MIMEType Size Downloads Title Detecting collusion attacks in security protocols Author(s) Chen, Qingfeng Chen, Yi-Ping Phoebe Zhang, Shichao Zhang, Chengqi Journal name Lecture notes in computer science Volume number 3841 Start page 297 End page 306 Publisher Springer-Verlag Place of publication Heidelberg, Germany Publication date 2006 ISSN 0302-9743 1611-3349 Summary Security protocols have been widely used to safeguard secure electronic transactions. We usually assume that principals are credible and shall not maliciously disclose their individual secrets to someone else. Nevertheless, it is impractical to completely ignore the possibility that some principals may collude in private to achieve a fraudulent or illegal purpose. Therefore, it is critical to address the possibility of collusion attacks in order to correctly analyse security protocols. This paper proposes a framework by which to detect collusion attacks in security protocols. The possibility of security threats from insiders is especially taken into account. The case study demonstrates that our methods are useful and promising in discovering and preventing collusion attacks. Language eng DOI 10.1007/11610113_27 Field of Research 080610 Information Systems Organisation HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2006, Springer-Verlag Persistent URL http://hdl.handle.net/10536/DRO/DU:30003615 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Engineering and Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sun, 22 May 2022, 04:44:22 EST Fri, 17 Oct 2014, 08:25:27 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 576 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 08:58:13 EST