Research On Secure Network Coding Algorithm For Eavesdropping

With the development of information globalization,people's demand for news is increasing.Faced with limited network resources,how to use network resources more quickly and effectively becomes more and more important.The theory of network coding has effectively improved the data transmission rate and realized more efficient use of network resources.In the network coding-based communication system,information is encoded at the node,which improves the network throughput and brings a bout network security problems that cannot be ignored.The security problem is one of the biggest obstacles to the practical application of network coding.Although the network coding mixes the data at the node,the network eavesdropping still causes the in formation to leak.Therefore,this paper mainly studies the eavesdropping problem in the network coding process,and proposes an effective network coding algorithm.Firstly,for the problem of introducing extra bandwidth overhead and high computational complexity in anti-eavesdrop security network coding,an encryption scheme based on double chaotic sequence is proposed.The algorithm uses the mapping values corresponding to the source transmission data packet to construct a precoding matrix of the form of Vandermonde determinant,and randomizes the message vector sent by the source to realize the hiding of the information vector.In order to further reduce the computational complexity and improve the coding efficiency,the proposed coding algorithm is improved.The chaotic encryption system encrypts any one-dimensional data of the source message,and uses the encrypted data to construct a sparse precoding matrix.Then,the remaining plaintext vectors are linearly and randomly mixed through the precoding matrix,thereby achieving the purpose of combating eavesdropping.The proposed encoding algorithm only needs to encrypt the source message at the source node,and the intermediate node does not need to make any changes.Experimental analysis shows that the algo rithm reduces the coding complexity,improves the transmission efficiency,and effectively enhances the security of the network.Combining compressed sensing and permutation encryption,an anti-eavesdropping compression network coding algorithm is proposed.The algorithm uses the measurement matrix to compress and reduce the source message at the transmitting end,and at the same time,it uses the scrambling encryption to achieve anti-theft against the network,and then uses the random network coding to transmit the message.The initial message is obtained at the receiving end by network coding and decoding and message reconstruction.The intermediate node of the network is responsible for transmitting the encoded message in a random network coding manner,with out the need for additional operations.Experimental analysis shows that the algorithm can reduce the computational cost of network codec,realize the anti-eavesdropping of the network and ensure the high reductiveness of the reconstructed information.This paper has 26 figures,5 tables and 59 references.