Secure Rateless Deluge: Pollution-Resistant Reprogramming and Data Dissemination for Wireless Sensor Networks

被引:0
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作者
Yee Wei Law
Yu Zhang
Jiong Jin
Marimuthu Palaniswami
Paul Havinga
机构
[1] The University of Melbourne,Department of Electrical and Electronic Engineering
[2] Northwestern Polytechnical University,School of Computer Science
[3] University of Twente,Pervasive Systems Group, Faculty of EEMCS
关键词
Time Series; Wireless Sensor Network; False Positive Rate; System Application; Data Packet;
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摘要
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 positive rate. TOSSIM simulations and experimental results show that Sreluge is practical.
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