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Sensors 2016, 16(4), 451;

A Trust-Based Adaptive Probability Marking and Storage Traceback Scheme for WSNs

School of Information Science and Engineering, Central South University, Changsha 410083, China
Author to whom correspondence should be addressed.
Academic Editor: Rongxing Lu
Received: 16 January 2016 / Revised: 19 March 2016 / Accepted: 21 March 2016 / Published: 30 March 2016
(This article belongs to the Special Issue Security and Privacy in Sensor Networks)
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Security is a pivotal issue for wireless sensor networks (WSNs), which are emerging as a promising platform that enables a wide range of military, scientific, industrial and commercial applications. Traceback, a key cyber-forensics technology, can play an important role in tracing and locating a malicious source to guarantee cybersecurity. In this work a trust-based adaptive probability marking and storage (TAPMS) traceback scheme is proposed to enhance security for WSNs. In a TAPMS scheme, the marking probability is adaptively adjusted according to the security requirements of the network and can substantially reduce the number of marking tuples and improve network lifetime. More importantly, a high trust node is selected to store marking tuples, which can avoid the problem of marking information being lost. Experimental results show that the total number of marking tuples can be reduced in a TAPMS scheme, thus improving network lifetime. At the same time, since the marking tuples are stored in high trust nodes, storage reliability can be guaranteed, and the traceback time can be reduced by more than 80%. View Full-Text
Keywords: traceback; wireless sensor network; trust; adaptive probability marking traceback; wireless sensor network; trust; adaptive probability marking

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Liu, A.; Liu, X.; Long, J. A Trust-Based Adaptive Probability Marking and Storage Traceback Scheme for WSNs. Sensors 2016, 16, 451.

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