北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2016, Vol. 39 ›› Issue (4): 108-113.doi: 10.13190/j.jbupt.2016.04.021

• 研究报告 • 上一篇    下一篇

增强安全性的LT码编译码方案

雷维嘉, 盛洁, 谢显中   

  1. 重庆邮电大学 移动通信技术重庆市重点实验室, 重庆 400065
  • 收稿日期:2016-01-10 出版日期:2016-08-28 发布日期:2016-06-27
  • 作者简介:雷维嘉(1969-),男,教授,硕士生导师,E-mail:leiwj@cqupt.edu.cn.
  • 基金资助:
    国家自然科学基金项目(61471076,61301123,61271259);重庆市基础与前沿研究计划项目(cstc2015jcyjA40047);长江学者和创新团队发展计划(IRT1299);重庆市科委重点实验室专项经费项目

Encoding and Decoding Scheme of Security-Enhanced LT Codes

LEI Wei-jia, SHENG Jie, XIE Xian-zhong   

  1. Chongqing Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2016-01-10 Online:2016-08-28 Published:2016-06-27

摘要: 对LT码的编码方式进行修改,不产生度为1的数据包,改为产生相关联的度2和度3的编码数据包,避免信息的直接泄露. 由于不能使用常规的置信传播(BP)算法进行译码,相应给出在BP译码算法基础上增加度2数据包处理环节的译码算法(D2BP算法),同时也给出降低译码复杂度的高斯消元译码算法(SGE算法). 仿真结果显示,D2BP算法可在较低的译码开销下成功完成删除度1的LT码的译码. SGE译码算法译码开销明显低于BP类的译码算法,信道删除概率对其译码性能没有影响. 相比较传统的高斯消元算法,SGE算法的复杂度明显下降.

关键词: LT码, 度2置信传播算法, 稀疏矩阵, 高斯消元法, 信息安全

Abstract: There are a large number of LT encoded packets with degree one which are copies of source information packets. An illegal recipient can intercept the information with part of the encoded packets even if the way of encoding is unknown. For this,the way of encoding of LT was modified. The packets with degree one is replaced with a pair packet of degree two and three. As the conventional BP algorithm can not decode this kind of codes, a BP-based decoding algorithm(D2BP) in which an extra processing for degree two packets is included was presented, while a complexity reduced Gaussian elimination decoding algorithm(SGE) is given. Simulations show that D2BP and SGE algorithms can successfully decode LT codes so that the degree one packets is deleted, and SGE algorithm has significantly higher decoding efficiency than BP and D2BP algorithms. The channel erasure has no influence on the decoding performance of SGE. Compared with traditional Gauss elimination algorithm, the complexity of SGE algorithm is obviously decreased.

Key words: LT codes, degree 2 belief propagation, sparse matrix, Gaussian elimination, information security

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