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A Reputation-based Scheme against False Data Injection in Wireless Sensor Networks

초록/요약

Nowadays, there has been an explosive growth in the applications of wireless sensor networks (WSNs). However, because the nature of security threats in WSNs as well as the characteristics of WSN itself raises the additional security challenges. For instance, a compromised node can inject false data into the network, which will damage the functions of a WSN. However, the compromised nodes are difficult to be detected and excluded since they own the security mechanisms and keys of network. To defend the false data injection attack launched by inside attacker, in this paper, we proposed a reputation-based scheme which uses a reputation evaluation mechanism based on statistics and information theory to distinguish less-trustworthy nodes from trustworthy nodes and choose the high trustworthy nodes to send data to the aggregator (CH), minimizing the influence of false data injection attack launched by the compromised nodes. Though performance analysis and simulation, we show that our scheme can defend the false data injection attack efficiently and effectively.

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목차

1. INTRODUCTION ……………………………………….…………….…………….…….. 1
2. RELATED WORK... ..…………………………………………………………….….….… 3
2.1 Defending false data injection attack by outside attacker………………....…. 4
2.2 Defending false data injection attack by inside attacker………………...….... 5
3. SYSTEM AND THREAT MODEL……………………………………………….…….… 7
4. RBS: A REPUTATION-BASED SCHEME……………………………………………... 10
4.1 Overview.……………………………………………………………………...... 10
4.2 Initial Key Pre-distribution.……………………………….…………………... 11
4.3 Reputation Evaluation and Report Formation……………….…………....… 12
4.4 Report Endorsement by Cluster Member Nodes……..……….…….…….… 15
5. SIMULATION …….……………………………………………………………………… 17
5.1 Simulation System Configuration…..…………………..………….…………. 18
5.2 Simulation Results…………………………………………………….……….. 20
6. CONCLUSION ……………………….…………………………………………….…….. 22
7. REFERENCE …………………………………………………….………………….…… 23

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