Department of Computer Science and Technology, University of Bedfordshire, University Square, Luton, LU1 3JU, UK;
Department of Computer Science and Technology, University of Bedfordshire, University Square, Luton, LU1 3JU, UK;
Department of Computer Science and Technology, University of Bedfordshire, University Square, Luton, LU1 3JU, UK;
Malware; Runtime; Image coding; Java; Algorithm design and analysis; Heuristic algorithms; Monitoring;
机译:相互信息和特征重要性渐变升级:Android恶意软件检测的自动字节N-GRAM功能重新登录
机译:基于n-gram和聚类系数的自动恶意软件突变体检测和组分类
机译:利用模型独立修剪改进基于实时许可的恶意软件检测和聚类方法
机译:使用RLE和N-GRAM提高恶意软件检测时间
机译:改进了对高级多态恶意软件的检测。
机译:DeepDetectNet VS RLATTACKNET:一种改进基于深度学习的静态恶意软件检测模型的对手方法
机译:玛格拉:机器学习和N-GRAM恶意软件特征提取和检测系统