华中科技大学学报（自然科学版）Issue(8)：52-57,6.DOI:10.13245/j.hust.150811
基于小波分解的链路层加密数据识别方法
Method to identify encrypted data of data link layer based on wavelet decomposition
摘要
Abstract
From the random statistical properties of the encrypted data and plaintext in data link layer , an encrypted data identification method was proposed based on randomness test to solve the problem of obtaining the samples of encrypted data and plaintext in unknown network .Based on the random test and combined with the multi‐scale characteristic of wavelet decomposition ,another identification method was provided based on wavelet decomposition .The key issues such as wavelet selection ,char‐acteristic parameter extraction ,template matching and threshold selection were all solved in the meth‐od .The research results demonstrate that the proposed method is more applicable and has higher iden‐tification rate .T he identification rates of the proposed method are above 95% both to the encrypted data and plaintext in a wireless network .关键词
链路层/加密数据/随机性检测/小波分解/识别方法Key words
data link layer/encrypted data/randomness test/w avelet decomposition/identification mehtod分类
信息技术与安全科学引用本文复制引用
吴杨,王韬,邢萌,李进东..基于小波分解的链路层加密数据识别方法[J].华中科技大学学报（自然科学版）,2015,(8):52-57,6.基金项目
国家自然科学基金资助项目（61173191）；军内科研基金资助项目（YJJXM12033）． （）
