Abstract
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%.
Highlights
Wireless sensor networks (WSNs), as one pivotal core components of the Internet of Things (IoT) [1,2,3,4], are emerging as a promising platform that enables a wide range of military [5], scientific [6], industrial and commercial applications, including monitoring of extended biological habitats, agriculture, industrial processes and human health-critical infrastructure [7,8,9,10]
The marking probability can be set in the trust-based adaptive probability marking and storage (TAPMS) scheme as follows: if the network is in a “safe” state, the baseline of the marking probability can be set low to reduce the number of marking tuples
The results show that the number of total marking tuples can be reduced by 13.20%–73.70% in the TAPMS scheme compared with that in the probability marking (PM) scheme with marking probability equal to 1 to improve network lifetime, and the traceback time can be reduced by more than 80%
Summary
Wireless sensor networks (WSNs), as one pivotal core components of the Internet of Things (IoT) [1,2,3,4], are emerging as a promising platform that enables a wide range of military [5], scientific [6], industrial and commercial applications, including monitoring of extended biological habitats, agriculture, industrial processes and human health-critical infrastructure [7,8,9,10]. The marking probability can be set in the TAPMS scheme as follows: if the network is in a “safe” state, the baseline of the marking probability can be set low to reduce the number of marking tuples. Because most nodes are marked with low probability, it will be easy to determine that the average marking probability of nodes in TAPMS is lower, the traceback time is shorter, and network lifetime is longer. In the TAPMS scheme, marking tuples are stored in high trust nodes, the performance of this scheme has been improved. The results show that the number of total marking tuples can be reduced by 13.20%–73.70% in the TAPMS scheme compared with that in the probability marking (PM) scheme with marking probability equal to 1 to improve network lifetime, and the traceback time can be reduced by more than 80%.
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