期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Malware homology identification based on a gene perspective 被引量:3
1
作者 bing-lin zhao Zheng SHAN +3 位作者 Fu-dong LIU Bo zhao Yi-hang CHEN Wen-jie SUN 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2019年第6期801-815,共15页
Malware homology identification is important in attacking event tracing, emergency response scheme generation, and event trend prediction. Current malware homology identification methods still rely on manual analysis,... Malware homology identification is important in attacking event tracing, emergency response scheme generation, and event trend prediction. Current malware homology identification methods still rely on manual analysis, which is inefficient and cannot respond quickly to the outbreak of attack events. In response to these problems, we propose a new malware homology identification method from a gene perspective. A malware gene is represented by the subgraph, which can describe the homology of malware families. We extract the key subgraph from the function dependency graph as the malware gene by selecting the key application programming interface(API) and using the community partition algorithm. Then, we encode the gene and design a frequent subgraph mining algorithm to find the common genes between malware families. Finally, we use the family genes to guide the identification of malware based on homology. We evaluate our method with a public dataset, and the experiment results show that the accuracy of malware classification reaches 97% with high efficiency. 展开更多
关键词 MALWARE classification GENE PERSPECTIVE DEPENDENCY GRAPH HOMOLOGY analysis
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部