Efficient probabilistic communication protocol for the private identification of RFID tags by means of collaborative readers Trujillo Rasua, Rolando and Solanas, Agusti 2011, Efficient probabilistic communication protocol for the private identification of RFID tags by means of collaborative readers, Computer networks, vol. 55, no. 15, pp. 3211-3223, doi: 10.1016/j.comnet.2011.05.013. Attached Files Name Description MIMEType Size Downloads Title Efficient probabilistic communication protocol for the private identification of RFID tags by means of collaborative readers Author(s) Trujillo Rasua, Rolando Solanas, Agusti Journal name Computer networks Volume number 55 Issue number 15 Start page 3211 End page 3223 Total pages 13 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2011-10-27 ISSN 1389-1286 Keyword(s) RFID protocol scalability privacy security science & technology technology computer science, hardware & architecture computer science, information systems engineering, electrical & electronic telecommunications computer science engineering Language eng DOI 10.1016/j.comnet.2011.05.013 Field of Research 08 Information And Computing Sciences 10 Technology 09 Engineering HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2011, Elsevier B.V. Persistent URL http://hdl.handle.net/10536/DRO/DU:30107648 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version 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 Mon, 16 Apr 2018, 17:18:55 EST Mon, 16 Apr 2018, 17:45:56 EST Tue, 17 Apr 2018, 05:02:35 EST Tue, 17 Apr 2018, 06:04:39 EST Wed, 18 Apr 2018, 10:33:06 EST Wed, 18 Apr 2018, 10:37:23 EST Filtered Full Citation counts:   Cited 8 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 49 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Mon, 16 Apr 2018, 17:45:56 EST

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