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Báo cáo hóa học: " Research Article Secure Rateless Deluge: Pollution-Resistant Reprogramming and Data Dissemination for "

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IResearch Article Secure Rateless Deluge: Pollution-Resistant Reprogramming and Data Dissemination for | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2011 Article ID 685219 22 pages doi 10.1155 2011 685219 Research Article Secure Rateless Deluge Pollution-Resistant Reprogramming and Data Dissemination for Wireless Sensor Networks Yee Wei Law 1 Yu Zhang 2 Jiong Jin 1 Marimuthu Palaniswami 1 and Paul Havinga3 1 Department of Electrical and Electronic Engineering The University of Melbourne Parkville VIC 3010 Australia 2 School of Computer Science Northwestern Polytechnical University Xi an Shaanxi 710072 China 3 Pervasive Systems Group Faculty ofEEMCS University of Twente P. O. Box 217 7500 AE Enschede The Netherlands Correspondence should be addressed to Yee Wei Law ywlaw@unimelb.edu.au Received 24 February 2010 Revised 22 June 2010 Accepted 19 July 2010 Academic Editor Damien Sauveron Copyright 2011 Yee Wei Law et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. A network reprogramming protocol is made for updating the firmware of a wireless sensor network WSN in situ. For security reasons every firmware update must be authenticated to prevent an attacker from installing its code in the network. While existing schemes can provide authentication services they are insufficient for a new generation of network coding-based reprogramming protocols like Rateless Deluge. We propose Secure Rateless Deluge or Sreluge a secure version of Rateless Deluge that is resistant to pollution attacks denial-of-service attacks aimed at polluting encoded packets . Sreluge employs a neighbor classification system and a time series forecasting technique to isolate polluters and a combinatorial technique to decode data packets in the presence of polluters before the isolation is complete. For detecting polluters Sreluge has zero false negative rate and a negligible false .