Abstract

In traditional wireless sensor networks, information transmission usually uses data encryption methods to prevent information from being stolen illegally. However, once the encryption methods are leaked, eavesdropping nodes can easily obtain information. LT codes are rateless codes; if it is attacked by random channel noise, the decoding process will change and the decoding overhead will also randomly change. When it is used for physical layer communication of wireless sensor networks, it ensures that the destination node recovers all the information without adding the key, while the eavesdropping node can only obtain part of the information to achieve wireless information security transmission. To reduce the intercept efficiency of eavesdropping nodes, a physical layer security (PLS) method of LT codes with double encoding matrix reorder (DEMR-LT codes) is proposed. This method performs two consecutive LT code concatenated encoding on the source symbol, and part of the encoding matrix is reordered according to the degree value of each column from large to small, which reduces the probability of eavesdropping nodes recovering the source information. Experimental results show that compared with other LT code PLS schemes, DEMR-LT codes only increase the decoding overhead by a small amount. However, it can effectively reduce the intercept efficiency of eavesdropping nodes and improve information transmission security.

Highlights

  • In wireless sensor networks, limited by the cost of current sensor equipment and computing power, traditional encryption technology cannot effectively secure information transmission in wireless sensor networks

  • In wireless sensor networks, aiming at the problem that traditional encryption algorithms are easy to decipher or leak, this paper proposes a DEMR-LT code physical layer security (PLS) transmission scheme and gives the DEMR-LT code encoding matrix design method, as well as the encoding and decoding method

  • Even if the wiretap channel is better than the legitimate channel, it can reduce the intercept efficiency of eavesdroppers

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Summary

Introduction

In wireless sensor networks, limited by the cost of current sensor equipment and computing power, traditional encryption technology cannot effectively secure information transmission in wireless sensor networks. [13] proposed that under the limitation of physical layer security capacity, the information transmission rate would be considerably reduced, which would cause the delay of the legitimate receiver’s information reception To solve this problem, [14] first introduced fountain codes [15] into PLS technology and proposed a transmit power control strategy to improve the signal-to-noise ratio of legitimate receivers. The security of information transmission in the main channel can be guaranteed as long as the legitimate receiver receives n encoded symbols before the eavesdropper and completes the decoding by taking advantage of this characteristic of fountain codes. To reduce the intercept efficiency of eavesdropping nodes in wireless sensor networks, a PLS scheme is proposed based on encoding matrix reordering according to the degree value of each column from large to small and through secondary LT concatenated encoding.

Related Work
System Model and LT Codes
The Encoding and Decoding Method Design of DEMR-LT Codes
Performance Analysis of DEMR-LT Codes
C2 1 C1 Bob control switch
Conclusions
Full Text
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