Abstract

In wireless sensor networks (WSNs), the accuracy of location information is vital to support many interesting applications. Unfortunately, sensors have difficulty in estimating their location when malicious sensors attack the location estimation process. Even though secure localization schemes have been proposed to protect location estimation process from attacks, they are not enough to eliminate the wrong location estimations in some situations. The location verification can be the solution to the situations or be the second-line defense. The problem of most of the location verifications is the explicit involvement of many sensors in the verification process and requirements, such as special hardware, a dedicated verifier and the trusted third party, which causes more communication and computation overhead. In this paper, we propose an efficient location verification scheme for static WSN called mutually-shared region-based location verification (MSRLV), which reduces those overheads by utilizing the implicit involvement of sensors and eliminating several requirements. In order to achieve this, we use the mutually-shared region between location claimant and verifier for the location verification. The analysis shows that MSRLV reduces communication overhead by 77% and computation overhead by 92% on average, when compared with the other location verification schemes, in a single sensor verification. In addition, simulation results for the verification of the whole network show that MSRLV can detect the malicious sensors by over 90% when sensors in the network have five or more neighbors.

Highlights

  • Wireless sensor networks (WSNs) have been one of the most popular topics for many years.The networks consist of a large number of low-cost sensors with wireless communication interfaces and enable many applications, such as environment monitoring, target tracking or rescuing

  • We propose an efficient location verification scheme in static wireless sensor networks (WSNs), which falls into the on-spot verification

  • Even though this evaluation result does not show the false rejection rate for the honest sensors with no attackers around them, the mutually-shared region-based location verification (MSRLV) can suffer from packet loss in the real-world environment, which leads to the false rejection

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Summary

Introduction

Wireless sensor networks (WSNs) have been one of the most popular topics for many years. The networks consist of a large number of low-cost sensors with wireless communication interfaces and enable many applications, such as environment monitoring, target tracking or rescuing. In those applications, location information plays an important role to make the sensed data more meaningful. The delivery of the data relies on the position of sensors when geographical routing is used as the underlying routing protocol To enable those applications, sensors usually get their positions by the location estimation process called localization. This location verification problem can be formulated in many different mathematical ways by reflecting the characteristics of the algorithms [10,11,12,13,14,15,16,17,18,19,20,21]

Collect necessary information
Related Works
System and Attack Models
System Model
Attack Model
The Proposed Scheme
Mutually Shared Region Token
D-Filtering
Description of MSRLV Scheme
Send msrTokenc
Handling the Verification Failure of the Honest Sensors
Security Analysis
Analysis of Using a Packet with a Random Value to Calculate the MSR Token
Analysis of the Successful Detection of Location Fraud
Analysis on the Effect of D-filtering on the Verification Result
MSR Token Sniffing
Further Considerations on Known Attacks
Performance Analysis
Neighbor Table Management Overhead
Performance Evaluation y coordinate y coordinate
Effect of Network Density
Effect of the Fake-Angle of Malicious Sensors
Discussion on the False Rejection Rate
Findings
Further Discussion
Conclusions
Full Text
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