Metamorphic Detection of Repackaged Malware

2021 IEEE/ACM 6th International Workshop on Metamorphic Testing (MET)(2021)

引用 3|浏览2
暂无评分
摘要
Machine learning-based malware detection systems are often vulnerable to evasion attacks, in which a malware developer manipulates their malicious software such that it is misclassified as benign. Such software hides some properties of the real class or adopts some properties of a different class by applying small perturbations. A special case of evasive malware hides by repackaging a bonafide ben...
更多
查看译文
关键词
Training,Support vector machines,Neural networks,Computer bugs,Feature extraction,Malware,Mobile applications
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要