计算机应用与软件2017，Vol.34Issue(8)：301-306,6.DOI:10.3969/j.issn.1000-386x.2017.08.054
基于人工免疫结合余弦相似度的病毒特征提取算法
VIRUS FEATURE EXTRACTION ALGORITHM BASED ON THE COSINE SIMILARITY OF ARTIFICIAL IMMUNE SYSTEM
摘要
Abstract
The existing computer virus feature extraction algorithm cannot effectively extract unknown viruses and variants of the virus characteristics, thus a virus feature extraction algorithm based on the cosine similarity of artificial immune system is proposed with the help of artificial immune theory.Establishing the virus candidate gene bank by adopting TF-IDF to carry on the tendency extraction to the virus DNA in the code layer algorithm;using variable r matching rule to extract virus candidate gene pool to produce virus detection gene bank in gene layer algorithm.Finally, the program layer uses the cosine similarity algorithm to evaluate the similarity between the test program and the virus, and to recognize the test program.Simulation experiments show that the proposed algorithm has higher virus recognition rate compared with other virus feature extraction algorithms in the case of low false alarm rate.关键词
人工免疫/特征提取/TF-IDF算法/可变r匹配/余弦相似度Key words
Artificial immune/Feature extraction/TF-IDF algorithm/Variable r matching/Cosine similarity分类
信息技术与安全科学引用本文复制引用
杨应华,夏勇..基于人工免疫结合余弦相似度的病毒特征提取算法[J].计算机应用与软件,2017,34(8):301-306,6.基金项目
国家自然科学基金项目(61471297). （61471297）
