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基于混沌序列的雙重加密安全網(wǎng)絡(luò)編碼方案設(shè)計(jì)

發(fā)布時(shí)間:2018-04-20 08:37

  本文選題:全局竊聽 + 混沌序列。 參考:《計(jì)算機(jī)應(yīng)用》2017年12期


【摘要】:針對(duì)當(dāng)前對(duì)抗全局竊聽的網(wǎng)絡(luò)編碼方案計(jì)算量大、占用帶寬大、安全性不高等問題,提出一種基于混沌序列的雙重加密方案。首先,利用密鑰對(duì)傳輸數(shù)據(jù)的最后一維進(jìn)行加密,加密時(shí)用數(shù)據(jù)本身擾動(dòng)混沌序列;然后,用另一密鑰和隨機(jī)數(shù)密鑰生成編碼系數(shù)矩陣,此時(shí)用m序列對(duì)混沌序列進(jìn)行擾動(dòng);最后,用得到的編碼系數(shù)矩陣對(duì)未加密消息和加密消息進(jìn)行線性組合,實(shí)現(xiàn)對(duì)抗全局竊聽。由于編碼系數(shù)矩陣是由密鑰生成的,不需要在信道中傳輸編碼系數(shù),相對(duì)于實(shí)體網(wǎng)絡(luò)編碼(SPOC)方案,所提方案節(jié)省了網(wǎng)絡(luò)中對(duì)編碼系數(shù)傳輸?shù)膸掗_銷。分析和實(shí)驗(yàn)結(jié)果表明,該方案提高了網(wǎng)絡(luò)的安全性能,對(duì)唯密文攻擊和已知明文攻擊都能起到作用,并且提高了傳輸效率,算法復(fù)雜度適中。
[Abstract]:A double encryption scheme based on chaotic sequences is proposed to solve the problems of large computation large bandwidth and low security in the current network coding scheme against global eavesdropping. Firstly, the last one dimension of the transmitted data is encrypted with the key, and the chaotic sequence is disturbed by the data itself, then the encoding coefficient matrix is generated by another key and random number key, and the chaotic sequence is disturbed by m sequence. Finally, the unencrypted and encrypted messages are linearly combined with the encoding coefficient matrix to combat global eavesdropping. Because the encoding coefficient matrix is generated by the key, it is not necessary to transmit the encoding coefficient in the channel. Compared with the solid network coding scheme, the proposed scheme saves the bandwidth overhead of the transmission of the coding coefficient in the network. The analysis and experimental results show that the proposed scheme can improve the security performance of the network, play a role in cipher-only attacks and known plaintext attacks, and improve the transmission efficiency. The algorithm complexity is moderate.
【作者單位】: 遼寧工程技術(shù)大學(xué)電子與信息工程學(xué)院;
【基金】:國家科技支撐計(jì)劃項(xiàng)目(2013BAH12F02) 遼寧省高等學(xué)校杰出青年學(xué)者成長(zhǎng)計(jì)劃項(xiàng)目(LJQ2012029)~~
【分類號(hào)】:TN915.08
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本文編號(hào):1777053

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