摘要
针对下一代无源光网络安全性不足的问题,文章提出了一种基于MD5信息摘要算法校验的电光混合加密方案。方案中采用Baker置乱算法和256 bit高级加密标准(AES)加密算法对图片数据进行加密,并结合低密度奇偶校验码(LDPC)纠错和MD5校验对加密图片数据进行纠错编码以及一致性校验。为进一步保证密钥和MD5摘要分发的安全性,方案中还采用超结构光纤布拉格光栅(SSFBG)对两者进行编码,使两者隐匿在系统噪声以下。仿真结果表明,经过SSFBG编码后,编码信号功率低至-50 dBm,可以达到数据在光纤信道上隐匿传输的效果。并且由于方案中加入了对接收数据的MD5校验,使得因恶意接入攻击造成的信息改变无法进行AES解码,在提升安全性的同时又节约了中央处理器(CPU)资源。最后,误码率曲线分析结果表明,加入LDPC纠错后,接收机灵敏度得到有效降低。
In view of insufficient security in the next generation passive optical network,an electro-optic hybrid encryption scheme based on MD5 message digest algorithm check is proposed in this paper.In the scheme,Baker scrambling algorithm and 256 bit Advanced Encryption Standard(AES)encryption algorithm are used to encrypt the picture data.The Low Density Parity Check Code(LDPC)error correction and MD5 check are combined to perform the error correcting coding and check the consistency of the encrypted picture data.In order to strengthen the security of key and MD5 digest distribution,Super Structure Fiber Bragg Grating(SSFBG)is also used to encode them so that they are hidden under the system noise.The simulation results show that after SSFBG coding,the power of the coded signal is as low as-50 dBm,which can achieve the effect of data hidden transmission over the optical fiber channel.Due to the fact that the MD5 check of the received data is added in the scheme,the information changes caused by malicious access attacks cannot be decoded by AES,which improves the security and saves Central Processing Unit(CPU)resources at the same time.Finally,Error rate curve analysis results show that the receiver sensitivity can be effectively reduced by adding LDPC error correction.
作者
宣冉
巩小雪
张琦涵
李瑞
乔一竞
侯维刚
XUAN Ran;GONG Xiao-xue;ZHANG Qi-han;LI Rui;QIAO Yi-jing;HOU Wei-gang(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Computer Science and Engineering,Northeastern University,Shenyang 110819,China)
出处
《光通信研究》
2022年第4期7-11,共5页
Study on Optical Communications
基金
国家自然科学基金资助项目(62075024,61801105,62071076)
重庆市自然科学基金资助项目(cstc2019jcyj-msxmX0615,cstc2021jcyj-msxmX0404)
重庆市教育委员会创新研究群体资助项目(CXQT21019)
重庆市教育委员会科学技术研究资助项目(KJQN202100643)
中国博士后科学基金资助项目(2021M700563)。
