计算机应用与软件2024，Vol.41Issue(11)：358-365,8.DOI:10.3969/j.issn.1000-386x.2024.11.049
基于FBR特征的密码算法识别
RECOGNITION OF CRYPTOGRAPHIC ALGORITHMS BASED ON FBR FEATURE
摘要
Abstract
Aimed at the problems of insufficient ciphertext feature extraction and low recognition accuracy in existing cryptographic algorithm recognition,a FBR ciphertext feature extraction method is proposed.This method combined the three methods of frequency,block frequency and run in the randomness test to define the statistical value of the number of symbols in the ciphertext,the statistical value of the number of runs,and the statistical value of the number of times within the block.FBR features were constructed based on three statistical values.The experiment used support vector machines to perform ciphertext two-classification and multi-classification experiments on the three mixed data sets.The experimental results show that the FBR ciphertext features extracted by this method are compared with the ciphertext features that have performed well,and the average recognition accuracy is improved,which fully proves the effectiveness of the proposed method.关键词
密码算法识别/特征提取/FBR特征/支持向量机Key words
Cryptographic algorithm recognition/Feature extraction/FBR feature/SVM分类
信息技术与安全科学引用本文复制引用
向广利,蒋欣,张于洁,杨立新..基于FBR特征的密码算法识别[J].计算机应用与软件,2024,41(11):358-365,8.基金项目
湖北省技术创新专项重大项目(2019ABA102). （2019ABA102）
