An active detection of compromised nodes based on en-route trap in wireless sensor network

Jiang-Tao Wang,Zhi-Xiong Liu

doi:10.1177/15501477211040367

Jiang-Tao Wang, Zhi-Xiong Liu

Open Access

https://doi.org/10.1177/15501477211040367

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Abstract

With the development and wide use of wireless sensor network, security arises as an essential issue since sensors with restrict resources are deployed in wild areas in an unattended manner. Most of current en-route filtering schemes could filter false data effectively; however, the compromised nodes could take use of the filtering scheme to launch Fictitious False data Dropping attack, the detection of this attack is extremely difficult since the previous hop node is unable to distinguish whether the forwarding node dropt a false data report with incorrect Message Authentication Codes or a legitimate report. This is the first attempt to address the Fictitious False data Dropping attack; in this article, we propose an Active Detection of compromised nodes based on En-route Trap to trap compromised nodes in the scenario of a false data dropping. A trust model is used to evaluate trust level of neighbor nodes with respect to their authentication behaviors. A detecting algorithm of compromised node is used to detect compromised nodes. Simulation results showed that our scheme can address the Fictitious False data Dropping attack and detect 60% of compromised nodes with a low false positive rate; consequently, the packet accuracy of an Active Detection of compromised nodes based on En-route Trap increases rapidly and reaches to 86%.

Highlights

Wireless sensor networks (WSNs) are widely used to monitor environments in many applications such as forest fire monitoring or military surveillance, it is a common view that WSN will play a vital role in Internet of Things (IOT) or generation network
Based on the analysis of Fictitious False data Dropping (FFD) attack, we found that the false data dropping scenario provides us with a perfect opportunity to trap compromised nodes, and this led us to design an Active Detection of compromised nodes based on Enroute Trap (ADET)
A trust model is used to evaluate trust level of neighbor nodes with respect to their authentication behaviors

Summary

Introduction

Wireless sensor networks (WSNs) are widely used to monitor environments in many applications such as forest fire monitoring or military surveillance, it is a common view that WSN will play a vital role in Internet of Things (IOT) or generation network. In most cases, sensor nodes in WSN are deployed in remote wild areas or even hostile environments in an unattended manner, with restrict limited battery power, communication capability, and computation capability.[1,2] The adversary may capture some sensor nodes physically, acquire the secret information stored in these nodes, and take full control of these compromised nodes. Even worse, these compromised nodes are leveraged by the adversary to launch many kinds of insider attacks such as false data injection attack,[3] data dropping attack, or selective forwarding attack. Compromised nodes detection is of great importance for ensuring the security of WSN

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